zh-cn	其次，通过多视角时空图建模私家车出行和城市区域之间的动态关联，设计了多图卷积−注意力网络以提取车流量演变的时空特征；
en-us	Secondly, the spatio-temporal correlations between private car travel and urbanareas were modeled through multi-view spatio-temporal graphs, the multi-graph convolution-attention network(MGC-AN) was proposed to extract the spatio-temporal characteristics of private car travel.

zh-cn	最后，进一步融合时空特征与天气等外部特征，联合预测私家车流量。
en-us	Finally, the spatio-temporal characteristics and external characteristics such as weather were integrated for joint prediction.

zh-cn	在长沙市和深圳市采集的真实数据上进行验证，实验结果表明，与现有的模型相比，所提模型的均方根误差约降低了 11.3%～20.3%，平均绝对百分误差约降低了 10.8%～36.1%。
en-us	Experiments were con-ducted on real datasets, which were collected in Changsha and Shenzhen. The experimental results show that, comparedwith the existing prediction model, the root mean square error of the MGC-AN is reduced 11.3%～20.3%, and the aver-age absolute percentage error is reduced 10.8%～36.1%.

zh-cn	针对物理层安全研究中主窃信道具有相关性的场景，研究了主窃信道间的相关性对系统安全性能产生的影响，推导得到了遍历保密容量及中断概率的精确计算式，以及主窃信道的信道状态差异较大和较小这 2 种场景下的渐近计算式，
en-us	In view of the correlation of the main and eavesdropper's channels in physical layer security, the impact of channel correlation on the secrecy performance was studied, the exact form ulations of ergodic secrecy capacity andsecrecy outage probability were derived, and then the asymptotic formulations in the scenarios where the channel stateswere large and small were given.

zh-cn	并通过仿真验证了理论分析的正确性。
en-us	The theoretical analysis were verified by the numerical simulations.

zh-cn	研究结果表明，信道相关性会造成遍历保密容量的损失，但信道相关性强并不一定表明通信中断概率大。
en-us	The simulation re-sults show that channel correlation will cause the loss of ergodic secrecy capacity, however, it does not mean the outageprobability of communication will increase with high channel correlation.

zh-cn	当目标速率设置合理时，信道相关性的影响与接收端平均信噪比有关，在高信噪比区域，强相关性会降低中断概率；
en-us	Actually, when the outage rate is set reasonably,the impact of channel correlation is related to the average signal-to-noise ratio (SNR) at the receiver end.

zh-cn	在低信噪比区域，强相关性会增大中断概率；在中信噪比区域内，相关性几乎不影响系统的中断概率。
en-us	At high SNRrange, high correlation will decrease the outage probability, at low SNR range, high correlation will increase the outageprobability, and at medium SNR range, the correlation will not affect the outage probability significantly.

zh-cn	基于上述结论，可以根据接收端信噪比、信道增益比、相关性等条件合理地设置系统参数，维护系统的安全性能。
en-us	Based on the above conclusion, the parameters can be set according to SNR and correlation, so that the secrecy performance can bemaintained.

zh-cn	面向高性能虚拟网络转发架构及设备 VPP，通过重构数据平面的流水线处理模块，设计了基于矢量数据包处理技术的带内网络遥测方案，
en-us	An in-band network telemetry-based system was built based on VPP, a high-performance virtual network for-warding architecture/device, via reorganizing the data plane pipeline processing modules.

zh-cn	并在此基础上通过引入源路由机制引导遥测报文走向，实现了一种带内全网遥测的扩展案例。
en-us	Moreover, a network-widetelemetry mechanism was further developed via embedding source routing into the probe packet header for specifying theroute of probe packets.

zh-cn	最后，基于虚拟机组网方式，搭建网络拓扑并进行网络性能评测。
en-us	Finally, a virtual network topology was built with performance evaluation conducted.

zh-cn	实验结果表明，该遥测系统能够在 0.13 ms 精度的遥测时间间隔下覆盖被测网络链路，并能以较小代价实时监测虚拟网络的链路拥塞情况。
en-us	The evalua-tion shows that the telemetry system can monitor the network in a high precision of every 0.13 ms, detecting link conges-tion in real time with minor performance overhead.

zh-cn	鉴于虚拟网络设备已在数据中心内被广泛部署，该方案通过高精度的虚拟网络测量覆盖，有望为数据中心内多租户网络和网络功能虚拟化的大规模部署提供可靠性保障。
en-us	Given virtual network devices have been widely deployed in datacenters, the proposed scheme is expected to improve the reliability of multi-tenancy and network function virtualizationin data centers via high-precision, network-wide virtual link telemetry coverage.

zh-cn	针对无线传感器网络节点能量有限、负载不均衡的问题，提出了一种基于粒子群优化模糊 C 均值的分簇路由算法 POFCA。POFCA 分别从成簇阶段和数据传输阶段进行了优化。
en-us	Aimed at the problems of limited energy and unbalanced load in wireless sensor network, POFCA based on particle swarm optimization fuzzy C-means was proposed. POFCA was respectively optimized from the cluster stage andthe data transmission stage.

zh-cn	成簇阶段，首先使用粒子群优化算法优化模糊 C 均值算法，克服了模糊 C 均值对初始聚类中心的敏感，
en-us	In the clustering stage, the particle swarm optimization fuzzy C-means was firstly used to overcome the sensitivity to the initial clustering center.

zh-cn	并根据节点剩余能量和相对距离动态更新簇首，平衡簇内负载。
en-us	And the cluster head was dynamically updated according to theremaining power and the relative distance of the nodes to balance the network load.

zh-cn	数据传输阶段，基于距离因子、能量因子和节点负载设计了路径评价函数，
en-us	Then in the data transfer phase, a path evaluation function was designed based on the distance factor, the energy factor and the nodal load.

zh-cn	并使用猫群优化算法为簇首搜寻最优路由路径，在平衡簇首负载的同时又不会加剧中继节点负载。
en-us	Besides, the catswarm optimization was used to search the optimal routing path for the cluster head to balance the load of the clusterhead without increasing the load of the relay node.

zh-cn	仿真结果表明，与 LEACH 和LEACH-improved 算法相比，POFCA 能有效地平衡网络负载，降低网络能耗，延长网络生命周期。
en-us	The simulation result shows that compared with algorithms ofLEACH and LEACH-improved, POFCA can effectively balance the network load, reduce the energy consumption ofnodes and extend the lifetime of the entire network.

zh-cn	针对无线供能反向散射通信系统中信道不确定性以及安全性问题，提出一种考虑系统安全性的稳健机会约束优化算法。
en-us	For the channel uncertainty and security problems in wireless powered backscatter communication (WPBC)system, a robust chance-constrained optimization algorithm was proposed.

zh-cn	首先，在考虑窃听数据传输速率约束、最小能量收集约束和设备反射率约束条件下，建立一个基于信道不确定性的最大化系统传输速率最小值的优化问题。
en-us	Firstly, an optimization problem was estab-lished to maximize the minimum transmission rate of the system based on channel uncertainty considering eavesdropping data transmission rate constraints, minimum energy collection constraints and device reflectivity constraints.

zh-cn	为求解该问题，应用基于伯恩斯坦型不等式的安全近似方法，将原不确定性问题转换为确定性优化问题。
en-us	In order to solve the problem, the original uncertainty problem was transformed into a deterministic optimization problem by usingthe security approximation method based on Bernstein inequality.

zh-cn	然后，结合不等式的性质，引入相应的辅助变量，将确定性优化问题转换为凸优化问题，并利用标准的凸优化算法进行求解。
en-us	Then, combining the properties of inequality, the cor-responding auxiliary variables were introduced to transform the deterministic optimization problem into a convex opti-mization problem, and the standard convex optimization algorithm was used to solve the problem.

zh-cn	最后，仿真结果表明了所提算法的有效性。
en-us	Finally, the simulation results show the effectiveness of the proposed algorithm.

zh-cn	针对目前关于分层超立方网络的可靠性研究不够系统，严重制约了其应用和推广的问题，以分层超立方网络为研究对象，
en-us	Aiming at the problem that the reliability research on hierarchical hypercube networks was not yet systematic,which severely restricted its application and popularization, the hierarchical hypercube network was taken as studyingobject,

zh-cn	在得到分层超立方网络相关拓扑性质的基础上，通过理论推导得到了 n 维分层超立方（HHC n ）在 PMC 模型和 MM*模型下的 h−额外条件诊断度和 t/s−诊断度。
en-us	on the basis of obtaining the relevant topological properties of the hierarchical hypercube network, the h-extraconditional diagnosability and t/s-diagnosability of the n-dimension hierarchical hypercube (HHC n ) network under thePMC model and MM* model were obtained by theoretical deduction.

zh-cn	此外，设计了 HHC n 在 PMC 模型和 MM*模型下的 t/s−诊断算法，并分析了其时间复杂度。
en-us	In addition, the t/s-diagnosis algorithmof HHC n under the PMC model and MM* model was designed and its time complexity was analyzed.

zh-cn	研究结果表明， HHC n 的 h−额外条件诊断度是其传统诊断度的约 h+1 倍，t/s−诊断度是其传统诊断度约 s+1 倍。
en-us	The research re-sults show that the h-extra conditional diagnosability of HHC n is about h+1 times of its traditional diagnosability, and thet/s-diagnosability of HHC n is about s+1 times of its traditional diagnosability.

zh-cn	该结果进一步完善了分层超立方网络的可靠性指标，为其应用和推广提供了重要的理论依据。
en-us	Those results improve the reliability index of the hierarchical hypercube network and provide an important theoretical basis for its application and popularization.

zh-cn	针对 DHR 系统服务体在面临共同漏洞时的系统脆弱性问题，提出了一种改进的 DHR 架构——IDHR。
en-us	Aiming at the security problem when servants are faced with common vulnerabilities, an improved DHR ar-chitecture called IDHR was proposed.

zh-cn	该架构在 DHR 的基础上，首先引入根据执行体间的异构性对执行体集进行划分的执行体划分模块，以极大增强各执行体池之间的异构性。
en-us	On the basis of DHR, an executor-partition module that divided the executor-set toseveral executor pools by the heterogeneity among the executors was introduced to improve the heterogeneity among theexecutor pools.

zh-cn	在此基础上，改进调度模块中的动态选择算法，即采用先随机选择执行体池，再从执行体池中随机选择执行体的方式，以提高在共同漏洞下 DHR 系统的安全性。
en-us	Moreover, the scheduling algorithm was improved by choosing executor pools randomly at first, and thenchoosing the executors from these pools randomly.

zh-cn	最后，通过随机模拟执行体和仿真Web 服务器 2 种实验方案，从攻击成功率和被控制率 2 个方面对所提 IDHR 架构进行安全性评估。
en-us	Finally, through two experimental schemes of random simulation andWeb server emulation, the security evaluation of the proposed IDHR architecture was carried out from two aspects of at-tack success rate and control rate.

zh-cn	实验结果表明，IDHR 架构的安全性，尤其是在共同漏洞未知情况下，明显优于传统 DHR 架构。
en-us	Experimental results show that the security of the IDHR architecture, especially whenthe common vulnerability is unknown, is significantly better than the traditional DHR architecture.

zh-cn	研究了唯密文攻击下 TWINE 密码的安全性，即在唯密文故障攻击下，利用 SEI、MLE、HW、GF、GF-SEI、GF-MLE、Parzen-HW、MLE-HE、HW-HE 和 HW-MLE-HE 等一系列区分器进行分析，能够以至少 99%的成功概率恢复 TWINE 密码的主密钥。
en-us	The security analysis of TWINE against the ciphertext-only fault analysis was proposed. The secret key ofTWINE could be recovered with a success probability at least 99% using a series of distinguishers of SEI、MLE、HW、GF、GF-SEI、GF-MLE、Parzen-HW、MLE-HE、HW-HE and HW-MLE-HE.

zh-cn	仿真实验表明，所提新型区分器 MLE-HE、HW-HE 和 HW-MLE-HE 可以有效地减少故障数并提高攻击效率。
en-us	Among them, the novel proposed distinguishers ofMLE-HE、HW-HE and HW-MLE-HE can effectively reduce the faults and improve the attack efficiency in simulating ex-periments.

zh-cn	研究结果为分析物联网中轻量级密码算法的安全性提供了重要参考。
en-us	It provides a significant reference for analyzing the security of lightweight ciphers in the Internet of Things.

zh-cn	针对 6G 时代电力物联网海量终端接入冲突严重、队列积压大、能量效率低等问题，提出了一种基于上下文学习的接入控制算法。
en-us	In view of the problems of severe access conflicts, high queue backlog, and low energy efficiency in the mas-sive terminal access scenario of the power Internet of things (power IoT) in 6G era, a context-aware learning-basedaccess control (CLAC) algorithm was proposed.

zh-cn	所提算法基于强化学习和快速上行链路授权技术，考虑终端活跃与休眠 2 种状态，优化目标为在终端接入服务质量需求的长期约束下最大化网络总能量效率。
en-us	The proposed algorithm was based on reinforcement learning and fastuplink grant technology, considering active state and dormant state of terminals, and the optimization objective was tomaximize the total network energy efficiency under the long-term constraint of terminal access service quality require-ments.

zh-cn	利用李雅普诺夫优化对长期优化目标与约束进行解耦，将长期优化问题转化为单时隙独立的确定性子问题，并利用基于终端状态感知的上置信界算法进行求解。
en-us	Lyapunov optimization was used to decouple the long-term optimization objective and constraint, and thelong-term optimization problem was transformed into a series of single time-slot independent deterministic sub-problems,which could be solved by the terminal state-aware upper confidence bound algorithm.

zh-cn	仿真结果表明，所提算法能够在满足终端接入服务质量需求的同时，有效提高网络总能量效率。
en-us	The simulation results show thatCLAC can improve the network energy efficiency while meeting the terminal access service quality requirements.

zh-cn	相较于传统快速上行链路授权算法，所提算法可提高平均能量效率 48.11%，提高满足接入服务质量需求的终端比例54.95%，降低平均队列积压 83.83%。
en-us	Com-pared with the traditional fast uplink grant, CLAC can improve the average energy efficiency by 48.11%, increase the proportion of terminals meeting access service quality requirements by 54.95%, and reduce the average queue backlog by83.83%.

zh-cn	针对基于密文策略的属性加密（CP-ABE）在低时延需求较高的雾计算环境中，存在加解密开销大、属性更新效率低的问题，提出了一种雾计算中细粒度属性更新的外包计算访问控制方案，
en-us	To slove the problem that in the fog computing environment with comparatively high low latency demand, ci-phertext policy attribute based encryption (CP-ABE) faced the problems of high encryption and decryption overhead andlow efficiency of attribute update, an fine-grained attribute update and outsourcing computing access control scheme infog computing was proposed.

zh-cn	使用模加法一致性秘密（密钥）分享技术构建访问控制树，将加解密计算操作外包给雾节点，降低用户加解密开销；
en-us	The unanimous consent control by modular addition technique was used to construct anaccess control tree, and the computing operations of ecryption and decryption were outsourced to fog nodes in order toreduce user encryption and decryption overhead.

zh-cn	结合重加密机制，在雾节点建立组密钥二叉树对密文进行重加密，实现对用户属性的灵活更新。
en-us	Combined with the re-encryption mechanism, a group key binary treewas established at the fog node to re-encrypt the ciphertext so that user attribute can be updated flexibly.

zh-cn	安全性分析表明，所提方案在决策双线性 Diffie-Hellman 假设下是安全的。
en-us	The securityanalysis shows that the proposed scheme is safe under the decision bilinear Diffie-Hellman hypothesis.

zh-cn	仿真实验结果表明，所提方案中用户加解密时间开销相比其他方案更小，属性更新效率更高。
en-us	Compared withother schemes, the results of simulation experiment prove that the time cost of user encryption and decryption in thisscheme is lower and the efficiency of attribute update is higher.

zh-cn	为了解决城市环境下的 C-V2X 车辆拓扑高度动态化且车辆节点负载能力有限的问题，提高车辆缓存的利用率，减轻基站负荷，提出了负载约束下的车辆缓存节点选择算法。
en-us	In order to solve the problem that the C-V2X vehicle topology in urban environment was highly dynamic andthe load capacity of vehicle nodes was limited, and improve the utilization of vehicular cache resources and reduce theload of base station, a vehicle cache nodes selection algorithm under load constraints was proposed.

zh-cn	首先，通过定义链路稳定性度量，构建预测权重邻接矩阵，微观地描述车辆拓扑关系；
en-us	Firstly, by definingthe link stability metric, the predicted weight adjacency matrix was constructed to describe the vehicular micro-topologyin essence.

zh-cn	其次，在负载约束和无重叠覆盖约束下构建目标函数，以最少的缓存节点实现全覆盖且最大化簇平均链路权重；
en-us	Next, the objective function was further constructed under the load constraints and non-overlapping coverage constraint, which maximized the average link weight of the clusters by using the least cache nodes.

zh-cn	最后，引入贪婪思想并合理定义节点状态，求解负载约束下车辆拓扑的最小支配集，并择优选择服务邻居节点。
en-us	Finally, the greedyconcept was then introduced and the node states were reasonably defined. As a result, the minimum dominating set of thevehicle topology was figured out under the load constraints. Besides, the serviced neighbor nodes were then determined preferentially.

zh-cn	仿真结果表明，所提算法在缓存节点个数和簇平均链路权重均值方面接近全局最优，其重复应答率恒为零，请求应答率可达理论上界并可有效提高缓存源应答次数。
en-us	The simulation results show that the proposed algorithm is close to the global optimal results in terms of the number of cache nodes and the average weight of cluster links. Moreover, the repeated response ratio of the proposedalgorithm is always zero while the request response ratio can achieve the theoretical upper bound. Furthermore, the re-sponse times of cache resources can be also effectively improved.

zh-cn	为了满足 5G 系统低时延高可靠的需求，针对单缓存终端直传（D2D）协作边缘缓存系统，提出了一种基于传输时延的缓存策略。
en-us	To meet the requirements of 5G system with low delay and high reliability, for a single-caching D2D coopera-tive edge caching system, an optimization of the caching strategy based on transmission delay was proposed.

zh-cn	运用随机几何理论，将请求用户和空闲用户的动态分布建模为相互独立的齐次泊松点过程，
en-us	The dy-namic distributions of requesting users and idle users were modeled as the independent homogeneous poisson pointprocess (HPPP) utilizing the stochastic geometry theory.

zh-cn	综合考虑内容流行度、用户位置信息、设备传输功率以及干扰，推导出用户的平均传输时延与缓存概率分布的关系式。
en-us	Comprehensively considering the content popularity, user loca-tion information, device transmission power and interference, the relationship between the average transmission delay ofuser and the cache probability distribution was derived.

zh-cn	以平均传输时延为目标函数建立优化问题，提出了一个低复杂度的迭代算法，得到平均传输时延次优的缓存策略。
en-us	Taking the average transmission delay as the objective function,the optimization problem was established, and a low complexity iterative algorithm was proposed to obtain the cachestrategy with sub-optimal average transmission delay.

zh-cn	仿真结果表明，该缓存策略在传输时延方面优于常见的几种缓存策略。
en-us	Simulation results demonstrate that the proposed optimizationcache strategy is superior to several common cache strategies in terms of transmission delay.

zh-cn	边缘计算在自动驾驶的环境感知和数据处理方面有着极其重要的应用。
en-us	Edge computing plays an extremely important role in the environment perception and data processing of auto-nomous driving.

zh-cn	自动驾驶汽车可以通过从边缘节点获得环境信息来扩大自身的感知范围，也可以向边缘节点卸载计算任务以解决计算资源不足的问题。
en-us	Autonomous driving vehicles can expand their perception scope by obtaining environmental informationfrom edge nodes, and can also deal with the problem of insufficient computing resources by offloading tasks to edge nodes.

zh-cn	相比于云计算，边缘计算避免了长距离数据传输所导致的高时延，能给自动驾驶车辆提供更快速的响应，并且降低了主干网络的负载。
en-us	Compared with cloud computing, edge computing avoids high latency caused by long-distance data transmission,and provides autonomous driving vehicles with faster responses, and relieves the traffic load of the backbone network.

zh-cn	基于此，首先介绍了基于边缘计算的自动驾驶汽车协同感知和任务卸载技术及相关挑战性问题，
en-us	Firstly, the edge computing-based cooperative perception and task offloading technologies for autonomous vehicles wereintroduced firstly, and related challenging issues were also proposed.

zh-cn	然后对协同感知和任务卸载技术的研究现状进行了分析总结，
en-us	Then the state-of-the-art of cooperative perceptionand task offloading technologies were analyzed and summarized.

zh-cn	最后讨论了该领域有待进一步研究的问题。
en-us	Finally, the problems need to be further studied in thisfield were discussed.

zh-cn	针对现有联盟链共识机制因可拓展性不足，无法在支持大规模网络的同时满足低时延、高吞吐量和安全性的问题，采用网络分片的思想，提出一种适用于联盟链的带有监督节点的两级共识机制——RBFT。
en-us	The existing consensus mechanisms of consortium blockchain are not scalable enough to provide low latency,high throughput and security while supporting large-scale network. A new consensus mechanism called RBFT was pro-posed to improve scalability, which was a two-level consensus mechanism with supervised nodes based on the idea ofnetwork fragmentation.

zh-cn	首先对网络节点进行分组，组内采用改进的 Raft 机制进行共识，然后由每个组内选出的领导者组成网络委员会，网络委员会内部采用 PBFT 机制进行共识。
en-us	In RBFT, the nodes were firstly divided into several groups. Each group adopted the improvedRaft mechanism to reach consensus and select leader. Then, the leaders of each group formed the network committee, andthe network committee adopted PBFT mechanism for consensus.

zh-cn	研究结果表明，在大规模网络环境下，相比 PBFT 和 Raft，RBFT 在具备拜占庭容错能力的同时可以保证高共识效率，因而具有更高的扩展性。
en-us	Comparative experiments verify that RBFT can tolerantByzantine fault while ensuring high consensus efficiency in large-scale network compared with PBFT and Raft.

zh-cn	针对现有的基于属性的身份认证方案均是基于单授权中心实现的，存在密钥托管问题，即密钥生成中心知道所有用户的私钥，提出了一种基于属性的多授权中心的身份认证方案。
en-us	Based on the problem that the existing attribute-based identification scheme is all based on one single authority,which has a key escrow problem, that is, the key generation center knows all users' private keys, an multi-authorityattribute-based identification scheme was proposed.

zh-cn	所提方案结合分布式密钥生成技术实现用户属性私钥的(t,n)门限生成机制，可以抵抗最多来自 t−1 个授权中心的合谋攻击。
en-us	Distributed key generation technology was integrated to realize the(t,n) threshold generation mechanism of the user's private key, which could resist collusion attacks from at most t−1 au-thorities.

zh-cn	利用双线性映射构造了所提方案，分析了所提方案的安全性、计算开销和通信开销，并与同类型方案做比较。
en-us	Utilizing bilinear mapping, a specific multi-authority attribute-based identification scheme was constructed. The security, computation cost and communication cost of the proposed scheme was analyzed, and it was compared with thesame type of schemes.

zh-cn	最后，以多因子身份认证为例，分析了所提方案在电子凭据应用场景中的可行性。分析结果表明，所提方案具有更优的综合性能。
en-us	Finally, taking multi-factor identification as an example, the feasibility of the proposed scheme inthe application scenario of electronic credentials was analyzed.The result shows that the proposed scheme has bettercomprehensive performance.

zh-cn	针对图像采集和传输过程中所产生噪声导致后续图像处理能力下降的问题，提出基于生成对抗网络（GAN）的多通道图像去噪算法。
en-us	Aiming at the issue that the noise generated during image acquisition and transmission would degrade the abil-ity of subsequent image processing, a generative adversarial network (GAN) based multi-channel image denoising algo-rithm was developed.

zh-cn	所提算法将含噪彩色图像分离为 RGB 三通道，各通道基于具有相同架构的端到端可训练的 GAN 实现去噪。
en-us	The noisy color image could be separated into red-green-blue (RGB) three channels via the pro-posed approach, and then the denoising could be implemented in each channel on the basis of an end-to-end trainableGAN with the same architecture.

zh-cn	GAN 生成网络基于 U-net 衍生网络以及残差块构建，从而可参考低级特征信息以有效提取深度特征进而避免丢失细节信息；
en-us	The generator module of GAN was constructed based on the U-net derivative networkand residual blocks such that the high-level feature information could be extracted effectively via referring to thelow-level feature information to avoid the loss of the detail information.

zh-cn	判别网络则基于全卷积网络构造，因而可获得像素级分类从而提升判别精确性。
en-us	In the meantime, the discriminator module couldbe demonstrated on the basis of fully convolutional neural network such that the pixel-level classification could be achieved to improve the discrimination accuracy.

zh-cn	此外，为改善去噪能力且尽可能保留图像细节信息，所构建去噪网络基于对抗损失、视觉感知损失和均方误差损失这 3 类损失度量构建复合损失函数。
en-us	Besides, in order to improve the denoising ability and retain the imagedetail as much as possible, the composite loss function could be depicted by the illustrated denoising network based onthe following three loss measures, adversarial loss, visual perception loss, and mean square error (MSE).

zh-cn	最后，利用算术平均方法融合三通道输出信息以获得最终去噪图像。
en-us	Finally, the re-sultant three-channel output information could be fused by exploiting the arithmetic mean method to obtain the final de-noised image.

zh-cn	实验结果表明，与主流算法相比，所提算法可有效去除图像噪声，且可较好地恢复原始图像细节。
en-us	Compared with the state-of-the-art algorithms, experimental results show that the proposed algorithm canremove the image noise effectively and restore the original image details considerably.

zh-cn	为了降低数据外包聚类运算过程中存在的隐私泄露风险，提出了一个基于同态加密的 DBSCAN 聚类隐私保护方案。
en-us	In order to reduce the risk of data privacy leakage in the process of outsourced clustering, a privacy protectionscheme of DBSCAN clustering based on homomorphic encryption was proposed.

zh-cn	为了加密实际场景中的浮点型数据，给出了针对不同数据精度的 3 种数据预处理方式，并提出了一种基于数据特点且综合考虑数据精度和计算开销等方面的数据预处理方式的选择策略。
en-us	In order to encrypt the float data in theactual scene, three data preprocessing methods for different data accuracy were given, and a policy for choosing a properdata preprocessing method based on data characteristics, accuracy and computational cost was also proposed.

zh-cn	由于同态加密不支持密文比较运算，设计了一个用户端与云服务器之间的协议实现密文比较功能。
en-us	For the ci-phertext comparison operation that was not supported by homomorphic encryption, a protocol between the client and thecloud server was designed to realize the function of ciphertext comparison.

zh-cn	理论分析和实验结果表明，所提方案能够保证数据隐私安全，并且具有较高的聚类准确率和较低的时间开销。
en-us	Theoretical analysis and experimental results show that the proposed scheme can ensure the security of data privacy, and has a higher clustering accuracy rate and low-er time overhead.

zh-cn	为了解决签名私钥易泄露和签名权利过度集中的问题，针对基于区块链技术的网络交易系统，提出了一种安全高效的两方协同 ECDSA 签名方案。
en-us	To solve the easy disclosure of signature private key and excessive concentration of signature rights, a secureand efficient two-party ECDSA signature scheme was proposed for the blockchain based network trading systems.

zh-cn	通过预计算一次一密的 Beaver 三元组，进而利用基于 Beaver 三元组的安全两方乘法技术，有效避免使用计算繁重的同态加密和通信开销较大的不经意传输等操作，实现高效的两方协同 ECDSA 签名，保证 2 个签名参与方在不重构完整签名私钥的情况下输出合法的 ECDSA 签名。
en-us	Bypre-computing one-time pad Beaver's triple, and utilizing the Beaver's triple based secure two-party multiplication tech-nology, some computationally intensive homomorphic encryption operations and oblivious transfer operations with high communication overhead were effectively avoided, and thereby an efficient two-party ECDSA signing was realized,which could ensure that the two signing parties output valid ECDSA signature without reconstructing the complete pri-vate key.

zh-cn	方案的安全性在通用可组合框架中的混合模型下被证明。
en-us	The proposed scheme was proved to be provably secure under the hybrid model of the universally composableframework.

zh-cn	理论分析与实验结果表明，与现有的 2 种两方协同 ECDSA 签名方案相比，所提方案在协同签名运行效率和带宽要求方面均具有明显优势。
en-us	Theoretical analysis and simulation results demonstrate that the proposed scheme has significant advantagesin terms of signing efficiency and bandwidth requirements when compared with the existing two two-party ECDSA sig-nature schemes.

zh-cn	针对车联网的多媒体业务快速增长，大量的数据交换为移动网络带来沉重负担的问题，构建了一种车联网中基于移动边缘计算的 V2X 协同缓存和资源分配框架。
en-us	Aiming at the problem that with the rapidly increasing of multimedia services in IoV, a large amount of datachange has bought a heavy burden on the mobile networks, a V2X collaborative caching and resource allocation frame-work in MEC-based IoV was constructed.

zh-cn	提出了 V2X 协同缓存与资源分配机制，实现网络内计算、缓存和通信资源的有效分配；
en-us	A V2X cooperative caching and resource allocation mechanism was proposedto achieve the effective allocation of computing resources, caching resources, and communication resources in the net-work.

zh-cn	利用图着色模型为卸载用户分配信道；
en-us	The graph coloring model was used to allocate channels to the offloading users.

zh-cn	采用拉格朗日乘子法对功率与计算资源进行分配。
en-us	Lagrange multiplier method wasused to allocate power and computing resources.

zh-cn	仿真结果表明，在不同的系统参数下，所提机制可以有效降低系统开销，减少任务完成时延。
en-us	The simulation results show that the proposed mechanism can effec-tively reduce system overhead and reduce task completion delay under different system parameters.

zh-cn	针对出租车盲目寻客导致空载率高的问题，提出了一种出租车载客热点推荐策略，以最大程度优化匹配乘客过程，提高寻客效率。
en-us	To solve the problems of unloading rate caused by blind passenger search of taxis, the hotspot recommendation strategy of taxi passengers was proposed. The proposed strategy could optimize the process of matching passengers to the greatest extent to increase the efficiency of passenger search.

zh-cn	基于出租车历史轨迹数据，结合热点乘客信息的时间序列特性，提出基于循环神经网络的分段预测（SPBR）算法，以及基于分时马尔可夫决策过程（TMDP）的载客推荐模型。
en-us	Based on the historical trajectory data of taxis and the timeseries characteristics of hotspot passenger information, a segment prediction method was proposed based on recurrentneural network (SPBR) and a passenger recommendation model was proposed based on time-varying Markov decisionprocess (TMDP).

zh-cn	实验表明，SPBR 算法预测结果的 RMSE 比 SVR、CART 和 BPNN 等算法分别降低了 67.6%、71.1%和 64.5%；
en-us	Experimental results show that the RMSE predicted by SPBR algorithm is 67.6%, 71.1% and 64.5%lower than the SVR, CART and BPNN algorithms.

zh-cn	TMDP 模型出租车期望回报比历史期望提升了 35.9%。
en-us	The expected return of taxis based on the TMDP algorithm is 35.9%higher than historical expectations.

zh-cn	传统的集中式数据交易模式不能很好地适用于当前万物互联、数据实时产生的智能时代，为了使产生的数据发挥更大的价值，设计一种有效的数据交易框架至关重要。
en-us	The traditional centralized data trading models are not well applicable to the current intelligent era where eve-rything is interconnected and real-time data is generated, and in order to maximize the use of collected data, it is essentialto design an effective data trading framework.

zh-cn	为此，提出了一种基于联盟区块链的分布式数据交易框架，在不依赖第三方的情况下实现了 P2P 的数据交易。
en-us	Therefore, a distributed data trading framework based on consortiumblockchain was proposed, which realized P2P data trading without relying on a third party.

zh-cn	针对已有数据交易模型仅考虑数据本身的因素，而忽略用户任务相关因素的问题，基于数据质量、数据属性、属性的相关性、消费者竞争等多维因素构建了双层多目标优化模型，以优化数据提供者（DP）和数据消费者（DC）的效用。
en-us	Aiming at the problem thatexisting data trading models only consider the factors of the data itself and ignore the factors related to user tasks, abi-level multi-objective optimization model was constructed based on multi-dimensional factors, such as data quality, da-ta attributes, attribute relevance and consumer competition, to optimize the utilities of data provider (DP) and data con-sumer (DC).

zh-cn	为求解上述模型，提出了一种改进的多目标遗传算法——协作式 NSGAII，通过 DP、DC 以及数据聚合器（AG）的协作进行计算。
en-us	To solve the above model, an improved multi-objective genetic algorithm-collaborative NSGAII was proposed,calculated by the cooperation of DP, DC and data aggregator (AG).

zh-cn	仿真结果表明，所提算法在 DP 和 DC 的效用方面取得了更好的性能，实现了更有效的数据交易。
en-us	The simulation results show that the collaborativeNSGAII achieves better performance in terms of the utilities of DP and DC, thus realizing more effective data trading.

zh-cn	提出了一种基于恒包络零自相关（CAZAC）序列的低复杂度抗频偏同步算法，适用于突发正交频分复用（OFDM）系统。
en-us	A low-complexity and frequency-offset-robust synchronization algorithm based on CAZAC sequence wasproposed, which was suitable for burst OFDM systems.

zh-cn	由 CAZAC 序列构造一种新型前导序列，利用该序列的组合特性，推导其简化的定时度量函数，进而利用时延相关和对称相关特性实现精确稳定的定时同步。
en-us	A new preamble sequence was constructed based on the CAZACsequence, and its simplified timing metric function was derived by using the combination characteristics of the sequence,and then the delay correlation and symmetric correlation characteristics were used to achieve accurate and stable timingsynchronization.

zh-cn	进一步地，基于所构造的前导序列，提出了一种联合循环前缀的加权频率同步方案，可获得更准确的频偏估计。
en-us	Furthermore, based on the new constructed preamble sequence, a weighted frequency synchronizationscheme combining cyclic prefix was proposed to obtain more accurate frequency offset estimation.

zh-cn	仿真结果表明，无论是否存在频偏，所提算法在高斯信道、多径衰落信道环境下均具有良好的同步性能，并且其计算复杂度低于大多数现有代表性算法。
en-us	Simulation results show that the proposed algorithm has good synchronization performance in both Gaussian channels and multipath fadingchannels regardless of frequency offset, and its computational complexity is lower than the most existing representativealgorithms.

zh-cn	分析传统分布式排队（DQ）的调度过程及退避树操作规则，设计了一种深度优先遍历的改进算法。
en-us	An analytic model was provided for the conventional distributed queueing (DQ) and its back-off tree operations, followed by a design of improving algorithm based on depth first traversal.

zh-cn	结合完全二叉树特例分析和随机重构的一般性推算，对改进算法的系统吞吐性能进行了理论分析和仿真评估，给出了 DQ 帧争用时隙的最优配置条件和基于开源软件 NS-3 的扩展仿真。
en-us	Combing the specific analysis of complete binarytree with generalized extension by random tree reconstruction, the performance of proposed algorithm was evaluated on thethroughput in both theory and simulation experiment. A theoretic optimal solution of contention slots of DQ frame and abrief description of simulation extension based on the open source NS-3 were presented.

zh-cn	仿真结果表明，所提算法的最大吞吐量可稳定达到信道物理容量的 70%。
en-us	The simulation results show that themaximum stationary throughput by the proposed algorithm reaches 70% of the physical capacity of channel.

zh-cn	为了提高大动态信噪比下数字调制识别性能，提出一种基于高阶累积量和判别式受限玻尔兹曼机的联合调制识别方法。
en-us	In order to improve the performance of digital modulation recognition under high dynamic signal-to-noise ra-tio, a joint modulation recognition method based on high-order cumulant and discriminative restricted Boltzmann ma-chine was proposed,

zh-cn	该方法提取数字信号的高阶累积量作为信号特征，综合利用判别式受限玻尔兹曼机的生成能力和分类能力，分析了含有高斯噪声、时变相位偏移或瑞利衰落环境下的数字信号识别率。
en-us	which extracted the high-order cumulant of digital signals as signal features, comprehensively uti-lized the generation ability and classification ability of the discriminative restricted Boltzmann machine, analyzed therecognition rate of digital signals in environments containing Gaussian noise, time-varying phase offset or Rayleigh fad-ing.

zh-cn	实验结果表明，与传统识别方法相比，所提方法的识别性能有明显改善。
en-us	Experimental results show that compared with traditional classification methods, the recognition performance of the proposed method is obviously improved.

zh-cn	此外，利用该模型的生成能力对输入特征进行重构，可有效提高低信噪比下的信号识别率。
en-us	In addition, the use of the model's generation ability to reconstruct the input features can effectively improve the signal recognition rate under low signal-to-noise ratio.

zh-cn	针对基于传统卷积神经网络模型的高光谱图像分类算法细节表现力不强及网络结构过于复杂的问题，设计了一种基于多尺度近端特征拼接网络的高光谱图像分类方法。
en-us	Aiming at the phenomenon that the hyperspectral classification algorithm based on traditional CNN model wasnot expressive enough in detail and the network structure was too complex, a hyperspectral image classification methodbased on multi-scale proximal feature concatenate network (MPFCN) was designed.

zh-cn	通过引入多尺度滤波器和空洞卷积，在保持模型轻量化的同时可以获取更丰富的空间−光谱判别特征，并提出利用卷积神经网络近端特征间的相互联系进一步增强细节表现力。
en-us	By introducing multi-scale filter andcavity convolution, the model could be kept light and the discriminative features of the space spectrum could be obtained,and the correlation between the proximal features of the CNN was proposed to further enhance the detail expression.

zh-cn	在 3 个基准高光谱图像数据集上的实验结果表明，所提方法优于其他分类模型。
en-us	Ex-perimental results on three benchmark hyperspectral image data sets show that the proposed method is superior to other classification models.

zh-cn	针对通信辐射源个体识别问题，提出了一种基于多通道变换投影、集成深度学习和生成对抗网络的融合分类方法。
en-us	A multi-feature fusion classification method based on multi-channel transform projection, integrated deeplearning and generative adversarial network (GAN) was proposed for communication specific emitter identification.

zh-cn	首先，通过对原始信号进行多种变换得到三维特征图像，据此构建信号的时频域投影以构建特征数据集，并使用生成对抗网络对数据集进行扩充。
en-us	First,three-dimensional feature images were obtained by performing various transformations, the time and frequency domainprojection of the signal was constructed to construct the feature datasets. GAN was used to expand the datasets.

zh-cn	然后，设计了一种基于多特征融合的双阶段识别分类方法，利用神经网络初级分类器分别对 3 类特征数据集进行学习，得到初始分类结果。
en-us	Then, a two-stage recognition and classification method based on multi-feature fusion was designed. Deep neural networks wereused to learn the three feature datasets, and the initial classification results were obtained.

zh-cn	最后，通过叠加融合学习初始分类结果，得到最终的分类结果。
en-us	Finally, through fusion andre-learning of the initial classification result, the final classification result was obtained.

zh-cn	实测数据分析结果证明，所提方法相比基于单一特征提取方法和经典多特征提取方法有更高的准确率，使用室外典型场景多径衰落信道模型对辐射源信号进行了处理，所提模型仍可进行有效识别，能够适用于复杂无线信道环境的应用。
en-us	Based on the measurement andanalysis of the actual signals, the experimental results show that the method has higher accuracy than the single featurevextraction method. The multipath fading channel has been used to simulate the outdoor propagation environment, and the method has certain generalization performance to adapt to the complex wireless channel environments.

zh-cn	为解决绝大多数研究未充分考虑位置对隐私预算的敏感程度以及轨迹形状带来的影响，使发布的轨迹可用性较差的问题，提出了基于相对熵和 K-means 的形状相似差分隐私轨迹保护机制。
en-us	To solve the problem that most studies had not fully considered the sensitivity of location to privacy budgetand the influence of trajectory shape, which made the usability of published trajectory poor, a shape similarity differential privacy trajectory protection mechanism based on relative entropy and K-means was proposed.

zh-cn	首先，根据地理空间的拓扑关系，利用相对熵计算真实位置对隐私预算的敏感程度，设计了位置敏感的隐私级别实时计算算法，并与差分隐私预算结合建立了一个新的隐私模型。
en-us	Firstly, according to the topological relationship of geographic space, relative entropy was used to calculate the sensitivity of real location to pri-vacy budget, a real-time calculation method of location sensitive privacy level was designed, and a new privacy modelwas built in combination with differential privacy budget.

zh-cn	其次，通过 K-means 算法对发布位置进行聚类，得到与真实位置方向最相似的发布位置集合，并引入 Fréchet 距离衡量发布轨迹与真实轨迹的相似性，提升发布轨迹的可用性。
en-us	Secondly, K-means algorithm was used to cluster the release position to obtain the release position set that was most similar to the real position direction, and Fréchet distance was in-troduced to measure the similarity between the release track and the real track, so as to improve the availability of the re-lease track.

zh-cn	通过对真实数据集的实验表明，所提轨迹保护机制与其他方法相比在轨迹可用性方面有明显的优势。
en-us	Experiments on real data sets show that the proposed trajectory protection mechanism has obvious advantages in trajectory availability compared with others.

zh-cn	为解决无人机在数据收集过程中的路径规划问题，将其分为全局路径规划和局部路径规划。
en-us	To solve the problem of path planning of UAV data collection, it was generally be divided into global pathplanning and local path planning.

zh-cn	针对全局路径规划，将其建模为一个定向问题，定向问题是背包问题和旅行商问题 2 种经典优化问题的组合。
en-us	For global path planning, it was modeled as an orientation problem, which was a com-bination of two classical optimization problems, the knapsack problem and the traveling salesman problem.

zh-cn	采用指针网络深度学习对该模型进行求解，并在无人机能量约束下得到其服务节点集合及服务顺序。
en-us	The pointernetwork of deep learning was used to solve the model to obtain the service node set and service order under the energyconstraint of the UAV.

zh-cn	针对局部路径规划，基于无人机接收到节点的参考信号强度，通过深度 Q 网络学习对无人机局部飞行路径进行规划，使无人机逼近节点位置并服务各节点。
en-us	In terms of the local path planning, the reference signal strength (RSS) of the sensor node receivedby UAV was employed to learn the local flight path of UAV by deep Q network, which enabled the UAV to approach andserve the nodes.

zh-cn	仿真结果表明，所提方案能够在无人机能量约束下有效提升其数据收集的收益。
en-us	Simulation results show that the proposed scheme can effectively improve the revenue of UAV data col-lection under the energy constraint of UAV.

zh-cn	信道建模是设计无线通信系统的基础，传统的信道建模方法无法自动学习特定类型信道的规律，特别是在针对特殊应用场景，如物联网、毫米波通信、车联网等，存在一定的局限性。
en-us	Channel characterization is primary to the design of the wireless communication system. The conventionalchannel characterization method cannot learn the law of certain types of channels by itself, which limits its application inseveral special scenarios, such as Internet of things, millimeter wave communication and Internet of vehicles.

zh-cn	此外，机器学习具有有效处理大数据、创建模型的能力，
en-us	Machine learning was able to process the big data and establish the model.

zh-cn	基于此，探讨了机器学习如何与信道建模进行有机融合，分别从信道多径分簇、参数估计、模型的构造及信道的场景识别展开了讨论，对当前该领域的重要研究成果进行了阐述，
en-us	Based on this, the cooperation between the machinelearning and channel characterization was investigated. The channel multipath clustering, parameter estimation, modelconstruction and wireless channel scene recognition were discussed, and recent significant research results in this field were provided.

zh-cn	并对未来发展提出了展望。
en-us	Finally, the future direction of the machine learning in wireless channel modeling was proposed.

zh-cn	移动设备加密流量分析可以用主动或被动的方式获取多种类型的用户信息，为网络安全管理和用户隐私保护提供保障。
en-us	Encrypted traffic analysis of mobile devices can obtain multiple types of user information in an active or pas-sive way, which provides protection for network security management and user privacy protection.

zh-cn	重点分析、归纳了用户信息探测所涉及的数据采集、特征选择、模型与方法以及评价体系的基本原理和关键方法。
en-us	The basic principlesand key methods of data collection, feature selection, models and methods, and evaluation systems involved in these userinformation detection were analyzed and summarized.

zh-cn	总结了现有方案中存在的问题，以及未来研究方向和面临的挑战
en-us	The problems in the existing projects were summarized, as well asthe future research directions and challenges.

zh-cn	面向物联网业务中的低时延需求，将短包通信（SPC）和非正交多址接入（NOMA）技术相结合，针对存在窃听者的情况研究多用户 NOMA 系统中的安全传输问题。
en-us	For the low-latency requirements of Internet of things (IoT) business, short packet communication (SPC) andnon-orthogonal multiple access (NOMA) were combined to study the problem of secure transmission in the multi-userNOMA system with eavesdroppers.

zh-cn	以最大化弱用户的安全吞吐量为目标，考虑用户译码错误概率约束、总功率约束和功率分配约束，提出了一种低复杂度的功率分配方案实现系统安全传输。
en-us	With the maximizing the secure throughput of weak uses as the objective, consider-ing the user decoding error probability constraint, total power constraint and power allocation constraint, alow-complexity power allocation algorithm was proposed to realize secure transmission.

zh-cn	为解决复杂的目标函数和不可靠的串行干扰消除（SIC）技术带来的问题，首先证明约束条件在取得最优解时的紧约束性，
en-us	In order to solve the problem caused by complex objective function formula and unreliable serial interference cancellation (SIC) technology, the proof that the compactness of the constraints was necessary to find the optimal solution.

zh-cn	在最大译码错误概率约束下，对功率约束进行转化和计算，得到强用户发射功率范围，推导出基站向强用户的发射功率搜索集；
en-us	Under the constraint of maximum de-coding error probability, the power constraint was transformed and calculated to obtain the strict limit of transmitting powerfor strong users, and the transmit power search set from base station to strong user was derived.

zh-cn	然后利用一维搜索算法对功率进行分配，实现弱用户吞吐量最大化。
en-us	Then, the one-dimensionalsearch algorithm was used to allocate power resources to maximize the throughput of weak users.

zh-cn	仿真结果证明，所提方案可有效提高系统中弱用户的安全吞吐量。
en-us	Simulation results provethat the proposed algorithm can effectively improve the security throughput of weak users in the system.

zh-cn	物联网设备因资源受限，需要兼具安全性、灵活性的轻量级密码模块保障安全，白盒密码能够满足物联网设备的安全需求。
en-us	The resources of IoT devices are limited. Therefore, security, flexibility and lightweight cryptographic modulesare required. The idea of white-box cryptography can meet the needs of IoT devices.

zh-cn	在常见的白盒密码实现方法中，往往密钥和查找表是绑定的，因此每次更换密钥都需要重新生成并更换查找表，这在实际应用中不够灵活。
en-us	In common AES white-box imple-mentations, keys are bound to look up tables. So the look up tables must be changed when the keys are changed. It is notflexible enough in practical applications.

zh-cn	为了解决该问题，提出了一种基于 AES 的动态白盒实现方法，即 DWB-AES。
en-us	To solve this problem, a dynamic white-box implementation method for AES,which was called DWB-AES, was proposed.

zh-cn	该方法通过改变轮与轮之间的边界，将加解密过程的所有操作均通过查找表来实现，并对表和密钥分别进行混淆，使整个加解密过程不会暴露密钥信息，
en-us	By changing the boundary between rounds, all operations of the encryption and decryption process were performed by looking up the tables, and the tables and the keys were respectively confused, so that the entire encryption and decryption process did not expose the key information.

zh-cn	且每次更换密钥时不需要更换查找表，所以 DWB-AES更加灵活和实用。
en-us	The look up tables need not to be changed every time when the keys changed, which was more practical.

zh-cn	通过对 DWB-AES 的安全性分析表明，DWB-AES 具有较高的白盒多样性和白盒含混度，且能够有效地抵御 BGE 和 Mulder 等常见的白盒攻击方法。
en-us	The security analysis of DWB-AES shows that the DWB-AES has higher white-box diversity and ambiguous, it can resist BGE attack and Mulder attack.

zh-cn	针对复杂多步攻击检测问题，研究面向云计算环境的攻击场景构建方法。
en-us	Aiming at the problem of complex multi-step attack detection, the method of attack scenario construction ori-ented to cloud computing environment was studied.

zh-cn	首先，构建了动态概率攻击图模型，设计了概率攻击图更新算法，使之能够随着时空的推移而周期性更新，从而适应弹性、动态性的云计算环境。
en-us	Firstly, a dynamic probabilistic attack graph model was constructed,and a probabilistic attack graph updating algorithm was designed to make it update periodically with the passage of timeand space, so as to adapt to the elastic and dynamic cloud computing environment.

zh-cn	其次，设计了攻击意图推断算法和最大概率攻击路径推断算法，解决了误报、漏报导致的攻击场景错误、断裂等不确定性问题，保证了攻击场景的准确性。
en-us	Secondly, an attack intention inference algorithm and a maximum probability attack path inference algorithm were designed to solve the uncertain problems such as error and fracture of attack scenarios caused by false positive or false negative, and ensure the accuracy of attack sce-nario.

zh-cn	同时将攻击场景随动态概率攻击图动态演化，保证了攻击场景的完备性和新鲜性。
en-us	Meanwhile, the attack scenario was dynamically evolved along with the dynamic probability attack graph to ensurethe completeness and freshness of the attack scenario.

zh-cn	实验结果表明，所提方法能够适应弹性、动态的云计算环境，还原出攻击者完整的攻击渗透过程，重构出高层次的攻击场景，为构建可监管可追责的云环境提供了一定的依据和参考。
en-us	Experimental results show that the proposed method can adapt to the elastic and dynamic cloud environment, restore the penetration process of attacker's and reconstruct high-level attackscenario, and so provide certain references for building supervised and accountable cloud environment.

zh-cn	针对车载环境下有限的网络资源和大量用户需求之间的矛盾，提出了智能驱动的车载边缘计算网络架构，以实现网络资源的全面协同和智能管理。
en-us	Given the contradiction between limited network resources and massive user demands in Internet of vehicles,an intelligent vehicular edge computing network architecture was proposed to achieve the comprehensive cooperation and intelligent management of network resources.

zh-cn	基于该架构，设计了任务卸载和服务缓存的联合优化机制，对用户任务卸载以及计算和缓存资源的调度进行了建模。
en-us	Based on this architecture, a joint optimization scheme of task offloading and service caching was furtherly devised, which formulated an optimization problem about how to offload tasks and al-locate computation and cache resources.

zh-cn	鉴于车载网络的动态、随机和时变的特性，利用异步分布式强化学习算法，给出了最优的卸载决策和资源管理方案。
en-us	In view of the dynamics, randomness and time variation of vehicular networks,an asynchronous distributed reinforcement learning algorithm was employed to obtain the optimal task offloading andresource management policy.

zh-cn	实验结果表明，与其他算法相比，所提算法取得了明显的性能提升。
en-us	Simulation results demonstrate that the proposed algorithm achieves significant perfor-mance improvement in comparison with the other schemes.

zh-cn	针对众包结果汇聚中最优排序结果选取的时效性问题，提出了 Worker 权重的高效快速汇聚算法。
en-us	To solve the problem of quickly obtaining the optimal ranking result in the crowdsourcing result aggregation,an efficient and effective aggregation algorithm of Worker's weight was proposed.

zh-cn	其中Worker 权重的差分进化算法重点考虑众包 Worker 完成排序任务存在的差异性问题，基于目标函数和约束条件中Worker 完成任务的不确定性和差异性影响，建立基于差分进化算法的 Worker 权重优化模型，
en-us	The Worker's weight optimization model based on differential evolution algorithm focused on the uncertainties and differences of Workers completingranking tasks, the uncertainties and differences were reflected in the objective function and constraint conditions of the model.

zh-cn	获取多数据项场景下候选结果最优权重，实现 Worker 权重与任务对结果性能需求匹配的最大化；
en-us	This model obtained the optimal weight of candidate results, and maximized the matching between Worker'sweight and result performance.

zh-cn	提出基于 Top-k 排序的优化模型求解算法，针对多数据项场景下候选结果的 Top-k 排序选取，在合适的 k 值下可快速求解上述模型，获得各 Worker的优化权重。
en-us	Then, the optimization model solving method based on Top-k ranking was proposed to quickly obtain the optimal Worker's weight with the appropriate k value for specific multi-data items ranking scenario.

zh-cn	所提出的基于优化的 Worker 权重可实现结果汇聚的匹配性与匹配速度优化，即在提升结果汇聚速度的同时，具有优化的汇聚结果性能。
en-us	The optimization of Worker's weight could realize optimized performance and speed of the result aggregation.

zh-cn	定性分析证明了算法的正确性，仿真实验结果也验证了算法的效果，与相关算法对比，所提算法的综合性能最优。
en-us	The cor-rectness of the algorithm is verified by qualitative analysis, the effectiveness and efficiency of the algorithm is verified by the simulation results, and the comparison with the relevant algorithms shows the optimal comprehensive performance of the algorithm.

zh-cn	为了防御进程控制流劫持攻击，从漏洞利用的角度对攻击过程建立了威胁模型，提出了截断关键漏洞利用环节的“要塞”防御。
en-us	To defeat the attack of process control flow hijacking, a threat model was established from the point of vul-nerability utilization, and the fortress defense to cut off the key vulnerability utilization path was proposed.

zh-cn	在研究拟态防御原理的基础上提出了进程的拟态执行模型，并对该模型进行了分析与有效性证明，拟态执行能够有效截断控制流劫持的攻击实施过程；
en-us	On the basis of studying the principle of mimic defense, a threat model of process mimic execution was proposed, and the threat mod-el was analyzed and proved to be effective. Mimic execution could effectively cut off the attack path of control flow hi-jacking.

zh-cn	实现了拟态执行的原型系统 MimicBox，并对MimicBox 进行了有效性验证实验、性能测试和对比评估。有效性验证实验表明，MimicBox 可以有效防御绝大部分基于已知类型二进制漏洞的控制流劫持攻击；性能评估结果表明，MimicBox 对 CPU 密集型程序带来的额外性能开销不会超过 13%；
en-us	The ptototype of mimic execution, MimicBox, was implemented. The validation experiment shows that Mimic-Box can effectively defend against most control flow hijacking attacks based on known binary vulnerabilities. The per-formance evaluation result shows that the overhead MimicBox lead to is less than 13% on CPU-intensive programs.

zh-cn	对比评估结果表明，拟态执行相对于控制流完整性防御来说，是一种较有效实用的主动防御方案。
en-us	The Comparative evaluation result shows that mimic execution is a more effective and practical active defense method com-pared with control flow integrity.

zh-cn	为了解决微波光子混频系统的非线性失真和动态范围受限问题，提出了一种基于并联双平行马赫−曾德尔调制器（DPMZM）的大动态范围微波光子混频系统。
en-us	To solve the problems of nonlinear distortion and limited dynamic range of microwave photonics mixing sys-tem, a large dynamic range microwave photonics mixing system based on parallel dual parallel Mach-Zehnder modulator(DPMZM) was proposed.

zh-cn	利用 DPMZM 实现射频和本振信号的并行调制，通过配置并行两路的电光调制指数及调制器的工作点，抵消输出中频信号中的三阶交调失真（IMD3），最终提高系统的动态范围。
en-us	The parallel modulation of radio frequency and local oscillator signals was realized by usingDPMZM. The third-order intermodulation distortion (IMD3) in the output intermediate frequency signal was eliminatedby configuring the electro-optic modulation index of the two parallel channels and the working point of the modulators.Finally, the dynamic range of the system was improved.

zh-cn	仿真结果表明，所提方案可将 IMD3 抑制 17.7 dB，系统无杂散动态范围提高到 127.8 dB·Hz45。
en-us	Simulation results show that the proposed scheme can suppressIMD3 by 17.7 dB and increase the SFDR to 127.8 dB·Hz45.

zh-cn	为解决现有的发布系统容易受到篡改，以及很难向新加入系统的“冷启动”用户推荐服务信息的问题，提出了一种支持冷启动用户推荐的区块链服务发布方案。
en-us	In order to solve the problem that the existing publishing systems were vulnerable to tampering, and it was dif-ficult to recommend service information to “cold start” users, a blockchain-based service publishing scheme that sup-ported cold-start user recommendations was proposed.

zh-cn	将单个辅助域的潜在特征映射模型扩展到 2 个辅助域，为目标域中的冷启动用户进行更为精确的推荐。将微服务架构和区块技术相结合，确保系统可扩展性、可靠性和安全性。
en-us	The latent feature mapping model of a single auxiliary domainwas extended to two auxiliary domains to make more accurate recommendations for cold start users in the target domain.In addition, the microservice architecture and block technology were combined to ensure system scalability, reliability and security.

zh-cn	在亚马逊交易数据中提取的 3 个真实数据集上的实验结果表明，所提推荐模型优于大多数其他推荐方法，并且服务发布信息可以安全地存储在区块链中以确保其不被更改。
en-us	The experimental results of three real data sets extracted from Amazon transaction data show that the pro-posed recommendation model is better than most other recommendation methods, and the service release information canbe safely stored in the blockchain to ensure that it is not changed.

zh-cn	为解决 6G 移动通信系统中雾无线接入网中数据共享的数据安全问题，提出了一种实现本地差分隐私和动态批量审计的内生安全数据共享机制。
en-us	In order to solve the data security problem of data sharing in the fog radio access network in the 6G mobilecommunication system, an endogenous secure data sharing mechanism that realized local differential privacy and dy-namic batch auditing was proposed.

zh-cn	首先，用户本地对数据运行 RAPPOR 算法保护数据隐私；
en-us	First, the user ran the RAPPOR algorithm locally on the data to protect data privacy.

zh-cn	其次，雾接入点对数据进行缓存和预处理；
en-us	Next, the fog access point cached and preprocessed the data.

zh-cn	再次，大功率节点对雾接入点上的数据进行基于 BLS 签名和 Merkle 哈希树的数据完整性审计；
en-us	Then the high power node performed a data integrity auditbased on the BLS signature and Merkle hash tree on the data cached on the fog access point.

zh-cn	最后，BBU 池通过统计分析推断出共享数据的原始分布。
en-us	Finally, the BBU pool in-fered the original distribution of shared data through statistical analysis.

zh-cn	安全性分析和仿真表明，所提机制实现了用户的本地差分隐私，并支持安全的多客户端批量审计和数据动态操作，同时具有较高的时间、空间和通信效率。
en-us	Security analysis and simulation show that the proposed mechanism realizes the local differential privacy of users, supports secure multi-client batch audit and data dy-namic operation, and has high efficiency in time, space and communication.

zh-cn	为了改善电离层频率预报准确性低、短波通信连通率差以及工程中观测野值对预报精度影响严重等问题，提出一种基于稳健卡尔曼滤波的倾斜探测电离层 MUF 短期预报方法。
en-us	To improve the low accuracy of ionospheric frequency forecasting, poor HF communication connectivity, and the severe impact of observational outliers in engineering on forecast accuracy, a short-term prediction method foroblique detection ionospheric MUF based on robust Kalman filtering was proposed.

zh-cn	通过研究实测 MUF 数据的变化规律及观测误差的成因与特征，利用电离层参考模型作为先验信息，改进卡尔曼滤波模型的状态估计方程；
en-us	By studying the variation law of themeasured MUF data and the causes as well as characteristics of observation errors, and exploiting the ionospheric refer-ence model as a priori information, the state estimation equation of the Kalman filter model was improved.

zh-cn	引入代价函数机制，通过 Huber-M 估计实现对预报状态的量测更新，减少观测野值对预报结果的影响，提高所提方法的稳健性。
en-us	The cost func-tion mechanism was introduced to realize the measurement update of the forecast state through Huber-M estimation,which reduced the influence of the observation outliers on the forecast results and improves the robustness of the pro-posed method.

zh-cn	仿真结果表明，所提方法能有效抑制观测野值带来的不利影响，具有较强的稳健性和稳定性。
en-us	The simulation results show that the proposed method can effectively suppress the adverse effects causedby the observation outliers and has good robustness and stability.

zh-cn	为了解决已有 YOLOv3 算法对于存在小目标问题和背景复杂问题的交通标志检测任务会有较多的误检和漏检的问题，在 YOLOv3 算法的基础上，提出了目标检测的通道注意力方法和基于语义分割引导的空间注意力方法，形成 YOLOv3-A 算法。
en-us	To solve the problem that the existing YOLOv3 algorithm had more false detections and missed detections fortraffic sign detection task with small target problems and complex background, based on the YOLOv3, a channel atten-tion method for target detection and a spatial attention method based on semantic segmentation guidance were proposedto form the YOLOv3-A (attention) algorithm.

zh-cn	YOLOv3-A 算法通过对检测分支特征在通道和空间 2 个维度进行重新标定，使网络聚焦和增强有效特征，并抑制干扰特征，提高了算法的检测能力。
en-us	The detection features in the channel and spatial dimensions were recali-brated, allowing the network to focus and enhance the effective features, and suppress interference features, which greatly improved the detection performance.

zh-cn	在 TT100K 交通标志数据集上的实验表明，所提算法对小目标检测性能的改善尤为明显，相比于 YOLOv3 算法，所提算法的精度和召回率分别提升了 1.9%和 2.8%。
en-us	Experiments on the TT100K traffic sign data set show that the algorithm improvesthe detection performance of small targets, and the accuracy and recall rate of the YOLOv3 are improved by 1.9% and2.8% respectively.

zh-cn	针对汉语谓语中心词识别困难及唯一性的问题，提出了一种基于 Highway-BiLSTM 网络的深度学习模型。
en-us	Aiming at the problem of difficult recognition and uniqueness of Chinese predicate head, a Highway-BiLSTMmodel was proposed.

zh-cn	首先，通过多层 BiLSTM 网络叠加获取句子内部不同粒度抽象语义信息的直接依赖关系；
en-us	Firstly, multi-layer BiLSTM networks were used to capture multi-granular semantic dependence in asentence.

zh-cn	然后，利用 Highway网络缓解深层模型出现的梯度消失问题；
en-us	Then, a Highway network was adopted to alleviate the problem of gradient disappearance.

zh-cn	最后，通过约束层对输出路径进行规划，解决谓语中心词的唯一性问题。
en-us	Finally, the output pathwas optimized by a constraint layer which was designed to guarantee the uniqueness of predicate head.

zh-cn	实验结果表明，该方法有效提升了谓语中心词识别的性能。
en-us	The experimental re-sults show that the proposed method effectively improves the performance of predicate head recognition.

zh-cn	将基于身份的密码学思想应用于增量签名中，提出了基于身份的增量签名概念，并基于格上困难问题设计了一种基于身份的增量签名方案。
en-us	By taking ideas of identity-based cryptography into incremental signatures, the concept of identity-based in-cremental signature was proposed, and then a specific scheme from lattices was also constructed.

zh-cn	在标准的小整数解困难假设下，所提方案在标准模型下满足适应性选择身份和选择消息攻击下的不可伪造性。
en-us	The scheme was shown to be provably secure against adaptive chosen identity and chosen message attacks in the standard model, assuming thehardness of the small integer solution problem.

zh-cn	理论分析和实验结果表明，所提增量签名算法比标准签名算法具有更高的计算效率。
en-us	Theoretical analysis and experimental results show that the computationaloverhead of the incremental signature algorithm is less than that of the standard signature algorithm.

zh-cn	为了更好地从大量候选云服务集中选出满足制造需求且服务质量较优的制造云服务协同完成制造任务，针对 QoS 准确性给组合筛选带来的影响，基于接口关联、业务实体关联、统计关联，提出了一种支持服务关联的QoS 感知评估模型。
en-us	In order to select better quality of manufacturing cloud services that meet the demand of manufacture to com-plete manufacturing tasks in coordination, a QoS aware evaluation model supporting service correlation was proposedbased on interface correlation, business entity correlation, and statistics correlation, aiming at the impact of QoS accuracyon combination screening.

zh-cn	引入企业合作时间、KULC 和 IR 参数，利用历史信息进行预测对统计关联 QoS 变化量进行动态调整，保证了时效性。
en-us	The cooperation time, KULC and IR parameters were introduced, and the historical infor-mation was used to predict and dynamically adjust the statistical association QoS changes to ensure timeliness.

zh-cn	通过算例分析验证了所提方法的可行性，实验结果表明该方法能为服务需求方提供更切合实际的解决方案。
en-us	The feasi-bility of the proposed method is verified by an example analysis, and the experimental results show that the method canprovide a more realistic solution for the service demander.

zh-cn	对面向 2030 的未来网络领域的发展趋势进行了综述。
en-us	Several typical technologies about the future network were introduced.

zh-cn	首先，介绍了网络体系架构和试验设施领域的研究进展；
en-us	First, the background of each technol-ogy were introduced.

zh-cn	其次，从网络控制与编排、网络深度可编程、网络确定性服务、网络计算存储一体化、网络与人工智能、网络与区块链、智能安全网络、网络空天地海一体化 8 个方面阐述了当前热点网络技术的背景、进展和主要成果；
en-us	Then, the current research progress and main results of each technology were expounded from eightaspects: network control and orchestration, programmable network, deterministic network, network computing and stor-age integration, network with artificial intelligence, network with blockchain, intelligent security network, space network.

zh-cn	最后，分析了面向 2030 的未来网络发展趋势，预计到 2030 年未来网络将支撑万亿级、人机物、全时空、安全、智能的连接与服务。
en-us	Finally the development trends and challenges of each technology were analyzed. It was expected that by 2030, the futurenetwork will support trillion-level, human-machine, all-time-space, safe, and intelligent connections and services.

zh-cn	希望能为未来网络相关领域的研究提供参考和帮助。
en-us	It is hoped that it can provide references and help for future network research.

zh-cn	随着区块链技术的迅猛发展，区块链系统的安全问题正逐渐暴露出来，给区块链生态系统带来巨大风险。
en-us	While the security of blockchain has been the central concern of both academia and industry since the verystart, new security threats continue to emerge, which poses great risks to the blockchain ecosystem.

zh-cn	通过回顾区块链安全方面的相关工作，对区块链潜在的安全问题进行了系统的研究。
en-us	A systematic study was conducted on the most state-of-the-art research on potential security issues of blockchain.

zh-cn	将区块链框架分为数据层、网络层、共识层和应用层 4 层，分析其中的安全漏洞及攻击原理，并讨论了增强区块链安全的防御方案。
en-us	Specifically, a taxono-my was developed by considering the blockchain framework as a four-layer system, and the analysis on the most re-cent attacks against security loopholes in each layer was provided. Countermeasures that can strengthen the blockchainwere also discussed by highlighting their fundamental ideas and comparing different solutions.

zh-cn	最后，在现有研究的基础上展望了区块链安全领域的未来研究方向和发展趋势。
en-us	Finally, the forefront ofresearch and potential directions of blockchain security were put forward to encourage further studies on the securityof blockchain.

zh-cn	针对云服务器系统运行环境具有非线性、随机性和突发性的特点，提出了基于整合移动平均自回归和循环神经网络组合模型（ARIMA-RNN）的软件老化预测方法。
en-us	In view of the nonlinear, stochastic and sudden characteristics of operating environment of cloud server system,a software aging prediction method based on hybrid auto-regressive integrated moving average and recurrent neural net-work model (ARIMA-RNN) was proposed.

zh-cn	首先，采用 ARIMA 模型对云服务器时间序列数据进行老化预测；
en-us	Firstly, the ARIMA model performs software aging prediction of time seriesdata in cloud server.

zh-cn	然后，利用灰色关联度分析法计算时间序列数据的相关性，确定 RNN 模型的输入维度；
en-us	Then the grey relation analysis method was used to calculate the correlation of the time series data todetermine the input dimension of RNN model.

zh-cn	最后，将 ARIMA 模型预测值和历史数据作为 RNN 模型的输入进行二次老化预测，从而克服了 ARIMA 模型对波动较大的时间序列数据预测精度较低的局限性。
en-us	Finally, the predicted value of ARIMA model and historical data wereused as the input of RNN model for secondary aging prediction, which overcomes the limitation that ARIMA model haslow prediction accuracy for time series data with large fluctuation.

zh-cn	实验结果表明，ARIMA-RNN 组合模型比 ARIMA 模型及 RNN 模型的预测精度高，且比 RNN 模型预测收敛速度快。
en-us	The experimental results show that the proposedARIMA-RNN model has higher prediction accuracy than ARIMA model and RNN model, and has faster prediction con-vergence speed than RNN model.

zh-cn	采用非线性光谱展宽光源作为高重复频率部分相干光载波光源，开展大气湍流信道中高速信息传输实验研究。
en-us	The nonlinear spectral broadening light source was used as a partially coherent carrier source with high repeti-tion frequency to carry out experimental research on high-speed information transmission in atmospheric turbulencechannels.

zh-cn	通过皮秒光纤激光器泵浦高非线性光纤获得非线性光谱展宽的部分相干光载波光源，重复频率可达 10 GHz。
en-us	A partially coherent beams source with nonlinear spectral broadening was obtained by pumping a highly non-linear fiber with a picosecond fiber laser, and the repetition frequency could reach 10 GHz.

zh-cn	采用 10 Gbit/s 脉冲高速数字调制，通过模拟大气湍流信道传输，相干光载波和部分相干光载波在湍流信道传输前后的信噪比分别从 16.83 dB 和 11.83 dB 降低至 4.31 dB 和 5.64 dB。
en-us	The 10 Gbit/s pulsehigh-speed digital modulation was used and transmitted through a simulated atmospheric turbulence channel, the sig-nal-to-noise ratio of the coherent optical carrier and partially coherent optical carrier before and after the turbulentchannel transmission is reduced from 16.83 dB and 11.83 dB to 4.31 dB and 5.64 dB, respectively.

zh-cn	在温度差∆T=230℃的模拟大气湍流通道中，当误码率为 3.8×10 −3 时，部分相干光载波链路灵敏度达到−27.8 dBm，与相干光载波相比，灵敏度提高了 1.6 dB。
en-us	In the simulatedatmospheric turbulence channel at ∆T=230℃, when the bit error rate is 3.8×10 −3 , the sensitivity of partially coherent op-tical carrier links reaches −27.8 dBm, which is 1.6 dB higher than that of coherent optical carriers.

zh-cn	针对无线通信多址接入系统中不同数据流量需求和 VLC 特点，构造了一种适用于多速率码分多址可见光通信系统的正交可变扩频因子–零互相关（OVSF-ZCC）码集，该码集包含可变长度的单极性扩频序列，序列之间保持零互相关特性。
en-us	For the diverse traffic requirements of the wireless communication multiple access system and the characteris-tics of VLC, a new orthogonal variable spreading factor zero cross correlation (OVSF-ZCC) code set was proposed formulti-rate VLC code division multiple access (CDMA) system, which consisted of unipolar spreading sequences with va-riable lengths, and zero cross correlation properties.

zh-cn	假设 LED 光源辐射为朗伯分布，进一步搭建了应用提出的 OVSF-ZCC 码集的多速率码分多址可见光通信系统模型，并在此基础上分析了码集构造参数、传输速率、传输距离等参数对该系统性能的影响。
en-us	Assuming the radiation of LED light source was Lambert distribution,a multi-rate CDMA-VLC system with proposed code set was further presented. The effects of construction parameters,transmission rate and distance on system performance were evaluated.

zh-cn	结果表明，所构造的 OVSF-ZCC 码集能够有效降低系统多址干扰（MAI）的影响，并支持多址接入系统中不同用户的多种速率传输。
en-us	The results show that the new code set can effec-tively reduce multiple access interference (MAI), and support multiple transmission rate requirements of different users inmultiple access systems.

zh-cn	针对访问控制策略的自动化生成问题，提出了一种基于深度学习的 ABAC 访问控制策略生成框架，从自然语言文本中提取基于属性的访问控制策略，
en-us	To solve the problem of automatic generation of access control policies, an access control policy generationframework based on deep learning was proposed. Access control policy based on attributes could be generated from nat-ural language texts.

zh-cn	该技术能够显著降低访问控制策略生成的时间成本，为访问控制的实施提供有效支持。
en-us	This technology could significantly reduce the time cost of access control policy generation and pro-vide effective support for the implementation of access control.

zh-cn	将策略生成问题分解为访问控制语句识别和访问控制属性挖掘两项核心任务，分别设计了 BiGRU-CNN-Attention 和 AM-BiLSTM-CRF 这 2 个神经网络模型来实现访问控制策略语句识别和访问控制属性挖掘，从而生成可读、可执行的访问控制策略。
en-us	The policy generation problem was decomposed into twocore tasks, identification of access control policy sentence and access control attribute mining. Neural network modelssuch as BiGRU-CNN-Attention and AM-BiLSTM-CRF were designed respectively to realize identification of accesscontrol policy sentence and access control attribute mining, so as to generate readable and executable access control poli-cies.

zh-cn	实验结果表明，与基准方法相比，所提方法具有更好的性能。
en-us	Experimental results show that the proposed method has better performance than the benchmark method.

zh-cn	特别是在访问控制策略语句识别任务中平均 F1-score 指标能够达到 0.941，比当前的 state-of-the-art 方法性能提高了 4.1%。
en-us	In particu-lar, the average F1-score index can reach 0.941 in the identification task of access control policy sentence, which is 4.1% better than the current state-of-the-art method.

zh-cn	基于改进蚁群优化算法与子图演化，提出了一种新型非监督社交网络链路预测（SE-ACO）方法。
en-us	Based on improved ant colony algorithm and subgraph evolution fusion, a new unsupervised social networklink prediction method (SE-ACO) was proposed.

zh-cn	该方法首先在社交网络图中确定特殊子图；
en-us	First, the special subgraph was determined in the social network graph.

zh-cn	然后研究子图演化以预测图中的新链接，并用蚁群优化算法定位特殊子图；
en-us	Then the evolution of the subgraph was studied to predict the new links in the graph, and the special subgraph was lo-cated by the ant colony method.

zh-cn	最后针对所提方法使用不同网络拓扑环境与数据集进行检验。
en-us	Finally, using different network topology environments and data sets to test the proposedmethod.

zh-cn	结果表明，与其他无监督社交网络预测算法相比，所提SE-ACO 方法在多数数据集上的评估结果较好，且运行时间较短，这表明图形结构在链路预测算法中起重要作用。
en-us	Compared with other unsupervised social network prediction algorithms, the proposed SE-ACO method has thebest evaluation results, shorter running time and the best effect on most data sets, which indicates that graph structureplays an important role in link prediction algorithm.

zh-cn	针对传统集中式贸易系统中管理者滥用权力问题，提出面向区块链贸易系统的无管理者安全模型，同时解决去管理者的贸易系统由于管理员缺失导致的背书安全、贸易不及时、验证低效、动态低效等问题。
en-us	In view of the abuse of power by managers in the traditional centralized trading system, a security model without managers for the blockchain-based trading system was proposed, which also solved the problems of unsafe en-dorsement, untimely trading, low auditing efficiency and dynamic inefficiency caused by the elimination of managers.

zh-cn	所提安全模型基于区块链技术解决传统贸易系统中的中心化集权的问题，采用基于同态认证的公开审计技术实现了无管理者的安全背书、背书密钥更新及贸易的高效验证，引入基于信誉的激励机制保证了贸易的及时性。
en-us	The proposed security model realized decentralization based on the blockchain technology, by using homomorphic au-thentication-based public auditing to achieve the secure endorsement and key updating for non-manager groups and effi-cient verification for transaction information respectively, introducing the reputation-based incentive mechanism to en-sure the timeliness of the transaction.

zh-cn	最后，通过安全证明与性能分析表明了所提安全模型的安全性和可靠性，通信和计算开销均低于 IPANM。
en-us	Finally, the security and reliability of the proposed security model were demon-strated by security proof and performance analysis, and the communication and computing costs are both lower thanIPANM.

zh-cn	针对基于图的多标签特征选择方法忽略图拉普拉斯矩阵的动态变化，且利用逻辑标签来指导特征选择过程而丢失标签信息等问题，提出了一种基于动态图拉普拉斯矩阵和实值标签的多标签特征选择方法。
en-us	In view of the problems that graph-based multi-label feature selection methods ignore the dynamic change ofgraph Laplacian matrix, as well as such methods employ logical-value labels to guide feature selection process and loseslabel information, a multi-label feature selection method based on both dynamic graph Laplacian matrix and real-valuelabels was proposed.

zh-cn	该方法利用特征矩阵的稳健低维空间构造动态图拉普拉斯矩阵，并利用该稳健低维空间作为实值标签空间，进一步使用流形约束和非负约束将逻辑标签转化为实值标签，以此来解决上述问题。
en-us	The robust low-dimensional space of feature matrix was used to construct a dynamic graph Lapla-cian matrix, and the robust low-dimensional space was used as the real-value label space. Furthermore, manifold andnon-negative constraints were adopted to transform logical labels into real-valued labels to address the issues mentioned above.

zh-cn	所提方法与 3 种多标签特征选择方法在 9 个多标签基准数据集上进行了对比实验，实验结果表明，所提多标签特征选择方法可得到高质量的特征子集，并且能获得很好的分类表现。
en-us	The proposed method was compared to three multi-label feature selection methods on nine multi-label benchmarkdata sets in experiments. The experimental results demonstrate that the proposed multi-label feature selection method canobtain the higher quality feature subset and achieve good classification performance.

zh-cn	针对极化码盲识别问题，首先证明了能表征实际极化码码长、码率关系的定理 1 和定理 2 及区别冻结比特位和信息比特位的定理 3。
en-us	In order to solve the problem of the blind recognition of polar codes, the theorem 1 and theorem 2 were provedfirstly, which reflects the relationship between length and rate of actual polar codes, and then theorem 3 which could dis-tinguish frozen bit and information bit positions was also proved.

zh-cn	基于这 3 个定理，通过遍历可能的码长值，构建了码字矩阵和克罗内克矩阵，然后遍历信息比特位，检测码字空间与疑似对偶空间的校验关系。
en-us	Based on these three theorems, the codewords matrixesand Kronecker matrixes were constructed by traversing the possible code length values. Then the information bits weretraversed to detect the check relationship between the codewords and the suspected dual space.

zh-cn	为了检测校验关系，引入了对数似然比概念，基于其统计特性和最优准则，估计出该遍历码长下的码率及信息比特位置，最终完成参数的识别。
en-us	In order to detect thecheck relationship, log likelihood ratio was introduced, based on its characteristics and optimal criteria, the code rate andinformation bit positions were estimated.

zh-cn	仿真结果表明，3个定理的结论与仿真结果一致，且算法具有较强的容错性，在信噪比为 6.5 dB、码长为 1 024 条件下，参数识别率能够达到 98%以上。
en-us	The simulation results show that the conclusions of the three theorems are con-sistent with the results. At the same time, the proposed algorithm has a strong error tolerance. Under 6.5 dB and codelength of 1024, the rate of recognition can reach more than 98%.

zh-cn	针对现有基于生成文本和社交关系的联合位置推断方法对社交媒体中异质数据间的位置关联性挖掘不充分的问题，提出了一种基于多种提及关系的社交媒体用户位置推断方法。
en-us	Aiming at the problem that the existing joint user geolocalization methods based on social media text and so-cial relationships do not sufficiently mine the location correlation between heterogeneous data in social media, a socialmedia user geolocalization method based on multiple mention relationships was proposed.

zh-cn	首先，综合考虑社交媒体文本中用户之间的提及关系、用户对位置指示词的提及关系和用户对地理名词的提及关系，构建包含用户、位置指示词和地理名词 3 种节点的异质网络；
en-us	First, a heterogeneous networkwas constructed by comprehensively considering the mention relationship between users, the user's mention relationshipwith location indicative words, and the user's mention relationship with geographic nouns.

zh-cn	其次，基于共同提及关系提出用户−词语−位置简化算法来构建用户−位置异质网络，将位置邻近的用户更为紧密地联系起来；
en-us	Then, a network simplificationstrategy was proposed to construct a user-location heterogeneous network that connects users live nearby more closelybased on the common mention relationship.

zh-cn	再次，提出有偏的随机游走算法对图中节点采样以充分探索网络结构，缓解已知位置的稀疏性问题；
en-us	After that, a biased random walk algorithm was proposed for the graph nodesampling to fully explore the network structure and alleviate the sparsity problem of known locations.

zh-cn	最后，采用基于多层感知机的神经网络分类器对用户进行位置推断。
en-us	Finally, a neuralnetwork classifier based on a multilayer perceptron was used to infer the user's location.

zh-cn	在 GEOTEXT、TW-US 和TW-WORLD 这 3 个代表性 Twitter 数据集上的实验结果表明，所提方法可显著提高用户位置推断准确率。
en-us	Experimental results on threerepresentative Twitter data sets of GEOTEXT, TW-US and TW-WORLD show that the proposed method can significant-ly improve the user geolocalization accuracy.

zh-cn	为提高数据访问流转控制的透明性、访问流转的可溯源，提出了一种基于区块链的可溯源访问控制机制。
en-us	To improve the transparency and traceability of access control, a blockchain-based access control mechanismfor data traceability and provenance was proposed.

zh-cn	所提机制将访问控制策略以智能合约的形式部署在区块链上，通过执行分布式的智能合约实现访问控制策略的评估，确保整个访问授权过程的无中心、透明性和可溯源；
en-us	The proposed access control policy was transferred to the smart con-tract and deployed on the blockchain, and the access authorization evaluation was realized by executing the smart con-tract deployed on the blockchain to ensure the decentralization, transparency and traceability of the access control process.

zh-cn	采用链下和链上相结合的方式，将客体存储在链下数据服务器，通过客体存储地址和摘要值等信息生成客体索引存储在客体区块链上；
en-us	The manner of combining off-chain and on-chain was adopted, the object was stored in off-chain data server, and the ob-ject index was generated by the object storage address and hash value, and deployed on the object blockchain.

zh-cn	日志区块链详细记录了客体访问授权过程和访问过程，任何错误行为都不可修改地记录在区块链上。通过安全性分析，所提机制在保证客体资源隐私性的前提下，实现了访问授权无中心、透明性和可溯源。
en-us	The log of object access authorization and access were recorded in the log blockchain, any misbehavior was immutably recorded.The security analysis show that, the proposed mechanism achieve the properties of decentralization, transparency andtraceability while ensuring the privacy of data.

zh-cn	为了满足宽带通信的发展需求，提出了一种基于相干双光频梳的微波光子信道化接收机，所用的光频梳仅需一个双平行马赫−曾德尔调制器就可生成，平坦度高，外带抑制比高，自由谱范围灵活可调，并且有效简化了接收机的复杂程度。
en-us	In order to meet the future development needs of broadband communications, a microwave photonic channeli-zation receiver based on dual coherent optical frequency comb (OFC) was proposed. The used optical frequency combcan be generated by only a dual parallel Mach-Zehnder modulator (DPMZM), which not only has high degree of flatnessand out band rejection ratio, flexible and adjustable free spectrum range, but also effectively simplifies the complexity of the receiver.

zh-cn	在 I/Q 解调模块中，利用平衡探测方法不仅有效抑制了二阶交调失真和直流偏移，还提高了接收机的动态范围，
en-us	In the I/Q demodulation module, by the balanced detection method the second-order intermodulation distor-tion (IMD2) and direct current (DC) offset were effectively suppressed, and the dynamic range of the receiver was im-proved,

zh-cn	同时利用电耦合器配合电带通滤波器解决了超外差架构普遍存在的镜像干扰问题，最终实现了 5 GHz 带宽射频信号的信道化接收。
en-us	at the same time, the electrical hybrid couple (EHC) and electric bandpass filter (EBPF) were used to solve the problem of image interference that is common in superheterodyne architectures. Finally it achieves channelized receptionof 5 GHz bandwidth RF signals.

zh-cn	针对现有标量乘法器不能适用于多椭圆曲线且运算开销较大的问题，设计了一种能应用于两类素数域椭圆曲线的高速标量乘法器。
en-us	Aiming at the problem that the existing scalar multiplier cannot be applied to multi-elliptic curve and the costis expensive, a high-speed scalar multiplier was designed, applicable to two types of elliptic curves over prime fields.

zh-cn	首先，在标量乘算法上，对 secp256r1 曲线的基点采用 Comb 算法，对普通点采用 Shamir算法，对 Curve25519 曲线使用蒙哥马利阶梯算法；
en-us	Firstly, in terms of the scalar multiplication, secp256r1 base points were processed with the comb algorithm, and theShamir algorithm for ordinary points, and the Montgomery ladder algorithm for Curve25519.

zh-cn	然后，优化了点加和倍点运算的操作步骤，并对点加中 Z=1的情况进行简化设计，有效减少计算周期数；
en-us	Secondly, the operation ofpoint addition and point doubling was optimized, and the condition of Z=1 in point addition was simplified, thereby ef-fectively reducing the number of calculation cycles.

zh-cn	最后，采用快速模约简实现模乘，设计了 Curve25519 的快速模约简算法。
en-us	Lastly, a fast modular reduction algorithm of Curve25519 was de-signed for modular multiplication.

zh-cn	整个设计充分考虑复用，在 55 nm CMOS 工艺下需 1 022×10 3 个等效门，在 secp256r1 和 Curve25519 上计算普通点标量乘，运算速度分别为 15.3 万次/秒和 15.8 万次/秒，其中 secp256r1 上的运算速度是现有设计的 1.9 倍。
en-us	Multiplexing was an important factor in the entire designing process. A 1022K equiv-alent gate was selected for the 55 nm CMOS process. This allowed ordinary point scalar multiplications performed onsecp256r1 and Curve25519 respectively, calculating at the speeds of 153 000 times per second and 158 000 times persecond, with the speed for secp256r1 1.9 times that of the existing designed one.Key words: ECC, scalar multiplication, fast modular reduction, hardware impleme

zh-cn	为了解决轨道角动量复用水下无线光通信系统中海洋湍流引起的信道串扰问题，对空时编码技术在该系统中的应用进行了研究。
en-us	In order to mitigate the crosstalk caused by oceanic turbulence in the underwater wireless orbital angular mo-mentum multiplexing optical communication system, the application of space-time coding technology in the system wasstudied.

zh-cn	基于 Rytov 近似，利用协方差法和插值法产生了具有相关性的随机相位屏，模拟了时变的海洋湍流信道对轨道角动量信号的影响，
en-us	Based on Rytov approximation, the covariance method and interpolation method were used to simulate correlatedrandom phase screens and then the influence of time-varying oceanic turbulence channel on orbital angular momentumsignal was studied.

zh-cn	仿真分析了采用空时编码的轨道角动量复用光通信系统传输特性、时变湍流屏的相位结构函数以及轨道角动量光束经时变仿真信道后的探测概率分布，仿真结果符合理论预期。
en-us	The transmission characteristics of orbital angular momentum multiplexing optical communicationsystem with space-time coding was analyzed by simulation. The phase structure function of the time-varying phasescreens and the detection probability distribution of the beam carrying the orbital angular momentum through thetime-varying simulation channel were in line with theoretical expectations.

zh-cn	仿真结果显示利用空时编码技术能够有效降低海洋湍流对系统误比特率的影响。
en-us	The simulation results show that thespace-time coding technology can effectively mitigate the influence of ocean turbulence on the system bit error rate.

zh-cn	针对异构无线网络的接入选择问题，在考虑用户业务类型和网络状态的前提下，提出了一种基于蜻蜓算法优化模糊神经网络的异构无线网络接入选择算法。
en-us	To solve the access selection problem of heterogeneous wireless network, an access selection algorithm basedon dragonfly algorithm (DA) optimized fuzzy neural network (FNN) was proposed, considering the user's business typeand network state.

zh-cn	针对模糊神经网络收敛速度低的问题，利用蜻蜓算法对模糊神经网络第二层和第五层的隶属度函数参数进行寻优，以得到模糊神经网络隶属度函数参数的初始值。
en-us	In view of the low convergence speed of the fuzzy neural network, the dragonfly algorithm was usedto optimize the membership function parameters of the second and fifth layers of the fuzzy neural network, so as to obtainthe initial value of membership function parameters of the fuzzy neural network.

zh-cn	系统根据不同业务类型下用户对网络的偏好程度和网络的输出评分为用户选择最适合的网络。
en-us	The most suitable network was selectedfor the users according to their preference to the network and the output score of the network under different businesstypes.

zh-cn	实验结果表明，利用蜻蜓算法优化模糊神经网络能够提高模糊神经网络的收敛速度，提高系统吞吐量，降低接入阻塞率，并在一定程度上减少切换次数。
en-us	The experimental results show that dragonfly algorithm optimization can improve the convergence speed of fuzzyneural network, improve system throughput, reduce blocking rate, and reduce switching times to some extent.

zh-cn	现有的基于身份签密方案多是基于双（多）线性对构造的，针对其复杂的对运算导致签密效率低下的问题，基于 Cocks 的身份密码体制提出了一种新的高效签密方案。
en-us	Most of the existing identity-based signcryption schemes are based on bilinear or multilinear pairing opera-tions construction. To solve the problem of low efficiency caused by complex pair operation, a new efficient signcryptionscheme based on the identity cryptosystem of Cocks was proposed.

zh-cn	首先，形式化所提方案的安全模型，给出了保密性和不可伪造性的定义；
en-us	Firstly, the security model of the proposed schemewas formalized, and the definition of confidentiality and unforgeability was given.

zh-cn	然后，利用二次剩余难解问题实现了所提方案的具体构造，进一步结合雅可比符号运算巧妙地在一个逻辑步骤内实现了签密算法设计；
en-us	Secondly, the quadratic residue prob-lem was used to realize the concrete construction of the proposed scheme, and the signature algorithm was designed in alogical step by combining Jacobi symbol operation.

zh-cn	最后，在随机预言模型下，给出了所提方案满足保密性和不可伪造性的安全性证明。
en-us	Finally, the security proofed that the scheme satisfied the confiden-tiality and unforgeability was given under the random prediction model.

zh-cn	效率分析表明，相对于已有的基于身份签密的方案，所提方案较大幅度地提升了运算效率，同时具备基于身份密码的良好特性。
en-us	The efficiency analysis shows that comparedwith the existing identity-based signcryption scheme, the proposed scheme greatly improves the computing efficiencyand has good characteristics of identity-based cryptosystem.

zh-cn	将 DS 证据理论应用到协作频谱感知算法中，针对经典 DS 证据理论中存在的证据悖论问题，提出了一种新的加权距离测度。
en-us	The Dempster-Shafer(DS) evidence theory was applied to cooperative spectrum sensing and address the para-dox of evidence in classical DS evidence theory, a new weighted distance measure based algorithm was proposed.

zh-cn	首先，对每个感知用户进行证据提取。
en-us	Firstly,the evidences were extracted for each sensing user.

zh-cn	然后，根据提取到的基本概率分配数据，利用加权距离测度计算出各个感知用户的证据间相似性。
en-us	Then, the weighted distance measure of extracted basic probabilityassignment data was adopted as the similarity between evidences of sensing users.

zh-cn	最后，将证据间相似性转化成可信度，并利用可信度来加权平均感知用户的基本概率分配。
en-us	Finally, the similarity of evidences wastransformed into credibility, which was utilized as the weight to obtain the weighted average of basic probability assign-ment.

zh-cn	针对协作开销大的问题，在证据提取后采用投影近似法调整基本概率分配来减少上传到融合中心的数据量。
en-us	In order to reduce the amount of data reported to the fusion center, the projection approximation method was em-ployed to adjust the basic probability assignment.

zh-cn	理论分析和仿真结果显示，与传统方法相比，所提方法能提高证据悖论问题存在时的检测性能，并且减少协作开销。
en-us	Both theoretical analysis and simulation results show that the proposedmethod can improve the detection performance of spectrum sensing while the paradox of evidence exists. Compared withtraditional methods the cooperation overhead is reduced.

zh-cn	为了提升移动边缘网络中系统的能量使用效率，面向多任务、多终端设备、多边缘网关、多边缘服务器共存网络架构的下行通信过程，提出了一种基于双深度 Q 学习（DDQL）的通信、计算、存储融合资源分配方法。
en-us	To improve the system energy efficiency in mobile edge networks, a resource allocation method based ondouble deep Q-learning(DDQL) for integration of communication, computing, storage resources was proposed for thedownlink communication process under the network architecture of multiple tasks, end devices, edge gateways and edgeservers.

zh-cn	以任务平均能耗最小化为优化目标，设置任务时延和通信、计算、存储资源限制等约束条件，构建了对应的资源分配模型。
en-us	A resource allocation model was constructed, which took the minimization of average energy consumption oftasks as the optimization goal and set the constraints of task delay limits and communication, computing, and storage re-source limits.

zh-cn	依据模型特征，基于 DDQL 框架，提出了适用于通信和计算资源智能决策、存储资源按需分配的资源分配模型和算法。
en-us	According to the model characteristics, a suitable resource allocation model and method based on DDQLframework was proposed to make intelligent allocation decisions for communication and computing resources and allo-cate storage resources on demand.

zh-cn	仿真结果表明，所提出的基于 DDQL 资源分配方法可以有效地解决多任务资源分配问题，具有较好的收敛性和较低的时间复杂度，在保障业务服务质量的同时，相对于基于随机算法、贪心算法、粒子群优化算法、深度 Q 学习等方法，降低了至少 5%的任务平均能耗。
en-us	Simulation results show that the proposed DDQL-based solution can effectively solvethe multi-task resource allocation problem with good converge and low time complexity, and it reduces the average ener-gy consumption of tasks by at least 5% compared with the solving methods based on random algorithm, greedy algorithm,particle swarm optimization algorithm and deep Q-learning while ensuring the quality of service.

zh-cn	针对室内定位与定向系统，提出了一种结合粒子群优化（PSO）和天牛须搜索（BAS）的 VLC 室内定位与定向算法，通过 PSO 算法探索接收端的最优方向，利用 BAS 算法对每个粒子当前方向下的最佳三维坐标进行搜索。
en-us	For the insufficient research on the simultaneously positioning and orientating system, a VLC positioning andorientating algorithm based on combining particle swarm optimization (PSO) and beetle antennae search (BAS) wasproposed. The PSO algorithm was used to explore the optimal direction of the receiver and meanwhile the BAS algorithmwas used to search the best three-dimensional coordinates of each particle in the current direction.

zh-cn	首先在 3 m×3 m×5 m 的室内空间和 40 dB 信噪比下进行仿真研究，所提出的 VLC 室内定位与定向系统实现了平均定位误差 4.82 cm 和平均定向误差 2.24°的性能指标。
en-us	Firstly, the indoorspace of 3 m×3 m×5 m and the SNR of 40 dB were assumed in the simulation, the proposed VLC indoor positioning andorientating system could achieve the average positioning error of 4.82 cm and average orientating error of 2.24°.

zh-cn	然后在 0.9 m×0.9 m×1.5 m 的实验系统中，实施了同时定位与定向的实验验证，平均定位与定向误差分别为 5.32 cm 与 5.99°。
en-us	Then, inthe laboratory space of 0.9 m×0.9 m×1.5 m, the experimental demonstration was accomplished for the first time, and theaverage positioning and orientating errors of this experimental system were 5.32 cm and 5.99°, respectively.

zh-cn	相比传统 VLC 室内定位方案，所提 VLC 室内定位与定向系统不需要接收端高度和方向的先验知识，大大降低了使用复杂度，具有更加广泛的应用场景。
en-us	Compared with the traditional VLC indoor positioning schemes, the proposed VLC positioning and orientating system does not needthe prior knowledge of the height and direction of the receiver, which greatly reduces the system complexity and is ap-plicable to a wider range of applications.

zh-cn	在复杂的城市环境中，由于存在难以避免的 GNSS 定位信号中断现象以及车辆行驶过程中的误差累积，易造成所收集的车辆轨迹数据不准确和不完备，因此提出一种基于双向 RNN 的私家车轨迹重构算法，
en-us	To address the problem that in the complex urban environment, due to the inevitable interruption of GNSS po-sitioning signal and the accumulation of errors during vehicle driving, the collected vehicle trajectory data was likely tobe inaccurate and incomplete. a bidirectional weighted trajectory reconstruction algorithm was proposed based on RNNneural network.

zh-cn	使用了GNSS-OBD 轨迹采集设备收集车辆轨迹信息，利用多源数据融合实现双向加权轨迹重构。
en-us	The GNSS-OBD trajectory acquisition device was used to collect vehicle trajectory information, andmulti-source data fusion was adopted to achieve bidirectional weighted trajectory reconstruction.

zh-cn	同时，在轨迹重构模型中引入神经算术逻辑单元（NALU），加强深度网络的外推能力并确保轨迹预测的精度，提高算法在应对城市复杂路段时轨迹重构的稳健性；
en-us	Furthermore, the neuralarithmetic logic unit (NALU) was leveraged with the purpose of enhancing the extrapolation ability of deep network andensuring the accuracy of trajectory reconstruction.

zh-cn	选取了实际城市路段进行了测试实验，并和现有算法进行了对比分析。
en-us	For the evaluation, real-world experiments were conducted to evaluatethe performance of the proposed method in comparison with existing methods.

zh-cn	通过均方根误差（RMSE）以及 Google Earth 对重构轨迹进行可视化展示，实验结果验证了所提算法的有效性和可靠性。
en-us	The root mean square error (RMSE) indi-cator shows the algorithm accuracy and the reconstructed trajectory is visually displayed through Google Earth. Experi-mental results validate the effectiveness and reliability of the proposed algorithm.

zh-cn	为解决泊位占有率的预测精度随步长增加而下降的问题，提出了一种基于注意力机制的泊位占有率预测模型。
en-us	To solve the problem that the berth occupancy prediction accuracy decreases while the prediction step was in-creasing, a berth occupancy prediction model based on an attention mechanism was proposed,

zh-cn	通过卷积神经网络获得多变量的时间模式信息作为模型的注意力机制。
en-us	which was the multivariate time pattern information obtained by convolutional neural networks (CNN).

zh-cn	通过对模型训练、学习特征信息，并对相关性高的序列分配较大的学习权重，来实现解码器输出高度相关的有用特征预测目标序列。
en-us	The characteristic information was learnedby the model training, and the sequence with higher correlation was assigned a larger learning weight, so that the highlycorrelated features output from the decoder could be used to predict the target sequence.

zh-cn	应用多个停车场数据集对模型进行测试，测试结果及对比分析表明，所提模型在步长达到 36 时对泊位占有率的预测数据能较好地估计真实值，预测精度和稳定性相比 LSTM 均有提高。
en-us	Data sets of multiple parking lotwere adopted to test the model. The test results show that the proposed model can estimate the real value well when thestep length of berth occupancy prediction reaches 36. The prediction accuracy and stability of the model are improvedcompared with long short-term memory (LSTM) model.

zh-cn	针对当前用于提取突发事件的方法存在精度低和效率低的问题，提出一种基于词相关性特征的突发事件检测方法，能从社会网络数据流中快速地检测出突发事件，以便相关的决策者可以及时有效地采取措施进行处理，使突发事件的负面影响被尽量降低，维护社会的安定。
en-us	For current methods for extracting emergencies had problems of low accuracy and low efficiency, an emer-gency detection method based on the characteristics of word correlation was proposed, which could quickly detect emer-gency events from the social network data stream, so that relevant decision makers could take timely and effective meas-ures to deal with, making the negative impact of emergencies can be reduced as much as possible to maintain social sta-bility.

zh-cn	仿真结果表明，突发事件检测方法在实时博文数据流中具有很好的事件检测效果，
en-us	The simulation results show that the emergency event detection method has a better event detection effect in thereal-time blog post data stream.

zh-cn	与已有的方法相比，所提方法可以满足突发事件检测的需求，不仅能检测到子事件的详细信息，而且能准确地检测出事件的相关信息。
en-us	Compared with the existing methods, the proposed method can meet the needs of emer-gency detection. Not only the detailed information of the sub-events can be detected, but also the related information of the events can be accurately detected.

zh-cn	为同时提升车辆的计算迁移率和边缘计算服务器的资源利用率，提出了一种基于交通流量预测的车联网边缘计算迁移方案。
en-us	With an aim of maximizing the efficiency of edge offloading and the resource utilization of edge computingserver simultaneously, a new flow-of-traffic prediction based edge computing offloading solution was proposed for In-ternet of vehicles (IoV).

zh-cn	首先通过设计考虑任务优先级的计算迁移率和资源利用率效用函数，将问题建模为双目标优化问题；
en-us	Firstly, both the efficiency utility function of vehicle and the resource utilization of mobile edgecomputing (MEC) server were established by considering task priority.

zh-cn	然后将问题转化为车辆与边缘计算服务器之间的资源双边拍卖问题，再通过设计交通流量信息感知的报价函数，采用 McAfee 拍卖算法，进而完成边缘计算迁移。
en-us	Next, the formulated dual-objective optimizationproblem was transformed into a double auction problem between vehicles and MEC servers. Finally, based on the de-signed flow-of-traffic based pricing function of vehicle and MEC server, a McAfee auction algorithm was adopted tocomplete the edge computing process.

zh-cn	仿真结果表明，通过交通流量预测信息的辅助，所提方案能有效提高车联网的边缘计算迁移率和资源利用率。
en-us	Simulation results show that benefiting from the flow-of-traffic prediction infor-mation, the proposed solution can significantly improve both the efficiency of computation offloading and the utilizationof computation resource.

zh-cn	针对 6G 时代将会是移动通信与人工智能紧密结合的时代，产生数量庞大的边缘智能信号处理节点的趋势，提出了一种可部署于资源受限的边缘设备上的高效智能电磁信号识别模型。
en-us	In response to the trend that in the 6th generation wireless (6G) era, mobile communications and artificial in-telligence will be closely integrated, and a huge number of edge intelligent signal processing nodes will be deployed, anefficient and intelligent electromagnetic signal recognition model was proposed, which could be deployed on re-source-constrained edge devices.

zh-cn	首先，通过绘制电磁信号的星座图将电磁信号具象为二维图像，并根据归一化点密度对星座图上色以实现特征增强；
en-us	The constellation diagram of electromagnetic signal was firstly drawn to visualize elec-tromagnetic signal as a two-dimensional image, and color the constellation diagram according to the normalized pointdensity to achieve feature enhancement.

zh-cn	然后，使用二值化深度神经网络对其进行识别，在保证识别准确率的同时明显降低了模型存储开销以及计算开销。
en-us	Then, a binary deep neural network was adopted to recognize the colored con-stellation diagrams. It was shown that the approach can guarantee a high recognition accuracy, which significantly re-duced the model storage and calculation costs.

zh-cn	采用电磁信号调制识别问题进行验证，实验选取常用的 8 种数字调制信号，选择加性高斯白噪声为信道环境。
en-us	For verification, the proposed approach was applied to the problem ofelectromagnetic signal modulation recognition. The experiment uses eight commonly used digital modulation signals andselects additive white Gaussian noise as the channel environment.

zh-cn	实验结果表明，所提方案可以在信噪比为−6～6 dB 的噪声条件下获得 96.1%的综合识别率，网络模型大小仅为 166 KB，部署于树莓派 4B 的执行时间为 290 ms，相比于同规模的全精度网络，准确率提升了 0.6%，模型缩减到126.16，运行时间缩减到12.37。
en-us	The experimental results show that the scheme canachieve a comprehensive recognition rate of 96.1% under the noise condition of −6～6 dB, while the size of the networkmodel is only 166 KB. Further, the execution time, when executed on a Raspberry Pi 4B, is only 290 ms. Compared to afull-precision network of the same scale, the accuracy is increased by 0.6%, the model is reduced to126.16, and the run-ning time is reduced to12.37.

zh-cn	针对无人机高移动性、飞行高度可控及视距信道概率高等使无人机无线网络的设计与部署存在多方面的挑战，
en-us	For the characteristics of unmanned aerial vehicle (UAV), such as high mobility, adjustable height, and highprobability of line-of-sight channels, which introduced multiple challenges to the design and deployment of current andfuture wireless network,

zh-cn	且其组网性能是业界的焦点难点问题，分析了异构无人机无线网络的网络覆盖与切换性能，为无人机无线组网提供理论支撑。
en-us	and the networking performance of UAV was the focus and difficult issues in the industry, thenetwork coverage and handoff performance of heterogeneous UAV wireless network was analyzed, which provided in-sights into UAV wireless networking.

zh-cn	具体地，考虑无人机移动性导致的信道状态信息过时问题，基于随机几何理论，推导了异构无人机无线网络的切换概率、切换误差概率和覆盖概率的解析表达式，探究了无人机移动性、飞行高度和地面基站密度对上述性能的影响。
en-us	Specifically, considering the outdated channel state information introduced by theUAV's mobility, analytical expressions of handover probability, handover error probability, and coverage probability forheterogeneous UAV wireless network were derived by utilizing the tools from stochastic geometry. In addition, the im-pacts of the UAV's mobility, height, as well as the density of terrestrial base stations on the aforementioned performancemetrics were investigated.

zh-cn	研究表明，过时信道状态信息会造成切换误差，且随无人机移动速度和基站密度提升呈先增大后减小趋势。
en-us	It shows that the outdated channel state information caused handover error, which increasesfirst and then decreases with the increase of UAV's moving speed and density of base stations.

zh-cn	同时，无人机飞行高度比移动速度对覆盖概率的影响更加显著。
en-us	Meanwhile, the impact ofUAV's flight height on coverage probability is more significant than that of moving speed.

zh-cn	针对贪婪比特填充算法复杂度较高的问题，提出了一种用于超声波透金属通信的子载波快速筛选比特填充算法。
en-us	Aiming at the high complexity of the greedy bit-filling algorithm, a bit-filling algorithm for fast subcar-rier-selecting used in ultrasonic through-metal communication was proposed.

zh-cn	通过 BER 近似公式和泰勒公式推导出子载波 BER 增量的近似表达式，将其作为贪婪比特填充算法中筛选子载波的依据，
en-us	The approximate expression for the BER increment, which was used as the basis for selecting subcarriers in the greedy bit-filling algorithm, was derived by the BER approximation formula and Taylor formula.

zh-cn	先筛选子载波再计算其 BER，使贪婪算法不需要计算所有子载波的新 BER。
en-us	The subcarrier was selected first and then its BER was calculated.Therefore, it was unnecessary for the greedy bit-filling algorithm to calculate new BER of all subcarriers.

zh-cn	仿真结果表明，所提算法可达到贪婪比特填充算法的数据速率，节省了约34的子载波 BER 计算，大大降低了计算量。
en-us	The simulationresults show that the proposed algorithm can achieve nearly the same data rate as the greedy bit-filling algorithm and savethe BER calculation of about 34 subcarriers, greatly reducing the amount of calculation.

zh-cn	针对现有流调度方法难以满足 Ceph 云存储网络中多业务流的不同多播调度需求问题，设计了一种支持业务优先级区分的多播流调度方法。
en-us	In order to solve the problem that existing flow scheduling method is difficult to meet the different multicastscheduling requirements of multi-service flows in the Ceph cloud storage network, a service priority-based multicast flowscheduling method was tailored.

zh-cn	首先，采用软件定义网络技术实时获取网络状态信息，为流调度方法提供数据支撑；
en-us	First, the network status was obtained via software defined network (SDN) to supportflow scheduling.

zh-cn	然后，将待处理的多播流调度任务分解为多个单播路径选择的多属性决策问题，提出基于理想解法的单播路径选择方法，根据业务流对网络性能的需求为其找到一个最优单播路径集；
en-us	Then, a multicast task was decomposed into multiple attribute decision problems for multiple unicastpath selection, and a method of unicast path selection based on technique for order preference by similarity to ideal solu-tion (TOPSIS) was proposed. The unicast path selection method was used to find the optimal unicast path set for the ser-vice flow based on the flow's network performance requirements.

zh-cn	最后，通过各路径集间的最大公共子路径确定多播分发节点以构建多播传输路径。
en-us	Then, the multicast distribution node was determined by the maximum common sub-path among the optimal unicast path sets for construct a multicast transmission path.

zh-cn	实验结果表明，与现有方法相比，所提方法可以在降低冗余流量、提高网络负载均衡性能的同时，降低高优先级流的传输时延。
en-us	The experiment results show that the proposed method can reduce the transmission delay of high priority flows while reduce the redundant traffic and better balance the traffic loads compared with the existing methods.

zh-cn	考虑物理层安全辅助的私密文件传输问题，提出了带有边缘计算服务器的智能基站作为中继协助完成文件压缩、传输与解压的安全传输方案。
en-us	Considering a physical-layer-security-aided confidential document transmission problem, a secure transmis-sion strategy was proposed where the base station equipped with a mobile edge computing (MEC) server served as a re-lay to help compress, forward, and decompress.

zh-cn	首先使用空间泊松点过程刻画多个潜在窃听者场景下的安全传输概率，然后构建两跳总安全传输概率约束下的时延及能耗最小化问题。
en-us	First, the Poisson point process was used to calculate the secure trans-mission probability for the scenario with multiple potential eavesdroppers. Then, a delay and energy minimization prob-lem was formulated under a constraint on the two-hop secure transmission probability.

zh-cn	通过一维搜索结合线性规划，得到了最优压缩与解压方案。
en-us	The optimal compression and de-compression scheme was obtained using the one-dimensional search combined with linear programming.

zh-cn	仿真结果表明，给定安全概率约束下私密信息速率小的链路在传输前需要进行文件压缩，反之不需要压缩，可直接传输。
en-us	Simulation re-sults show that the document compression is necessary for the link with small achievable secrecy rate under a given se-cure transmission probability; otherwise, the document should be directly transmitted without compression.

zh-cn	针对蜂窝网、车联网等网络中用户的内容下载场景，提出了一种基于终端直通（D2D）多播通信的合作内容下载机制改善下载性能。
en-us	Aiming at the content downloading scenario in the network such as cellular network and vehicular network, acooperative content downloading scheme based on device-to-device multicast communications was proposed to improvethe content downloading performance.

zh-cn	该机制充分利用内容请求者位置的邻近特性，将其分成不相交的簇。
en-us	Such a scheme took advantage of the proximity feature of the content requestersand groups them into disjoint clusters.

zh-cn	簇内的内容请求者合作从基站处下载一份完整的内容，并轮流向簇内其他内容请求者共享所下载的内容。
en-us	Firstly, the base station delivered the entire content to a cluster, and each contentrequester in a cluster downloaded a proportion of the entire content. Then, the content requesters took turns sharing their downloaded content with other content requesters in the same cluster.

zh-cn	这种下载方式下，内容共享额外消耗的资源由簇内内容请求者共同承担。
en-us	In this way, the additional resource consumption ofcontent sharing in a cluster was shared by the content requesters in the cluster together.

zh-cn	在此过程中，提出了一种定价方法来激励内容请求者间的合作。
en-us	During this process, a pric-ing-based approach was proposed to motivate these content requesters to cooperate with each other.

zh-cn	该方法仅需要基站维持一个内容下载的价格。
en-us	Such an approach only required the base station to maintain a content downloading price.

zh-cn	基于此，为最小化内容请求者的下载代价，研究了用户分簇、链路调度和功率分配的联合优化问题。
en-us	Based on this, the joint issue of user clustering,link scheduling and power allocation was studied to minimize the total cost of content requesters.

zh-cn	为以较低的复杂度得到较优的解，基于联盟形成博弈设计了一个联合优化算法。
en-us	To obtain a superiorsolution with reductive complexity, a joint optimization algorithm was designed based on the coalition formation game.

zh-cn	仿真结果表明，相较于传统非合作机制，内容请求者在所提机制下的下载代价降低了约 37.15%；
en-us	Numerical results show that compared with the traditional non-cooperative scheme, the total cost of content requesterswas reduced by 37.15%.

zh-cn	在不同数目的内容请求者和蜂窝用户下，所提机制均优于其他基准机制。
en-us	Under different numbers of content requesters and cellular users, the proposed scheme is bothsuperior to other benchmark schemes.

zh-cn	针对交互网络中实体的非法、异常活动日趋隐蔽，复杂的交互关系又加剧了网络分析难度的问题，提出一种发现骨干网络的蚁群模型。
en-us	For the problem that in interactive network, the illegal and abnormal behaviors were becoming more hidden,moreover, the complex relation in real interactive network heightens the difficulty of detecting anomalous entities, an antcolony model was proposed for extracting the backbone network from the complex interactive network.

zh-cn	该模型基于路径寻优理论模拟实体间交互关系，量化信息交互路径的显著性，实现网络规模约减。
en-us	The novel model simulated the relationships among entities based on the theory of path optimization, reduced the network size after quan-tifying the significance of each flow of information.

zh-cn	首先，利用网络中心性理论，提出了交互网络中蚂蚁初始位置选择策略；
en-us	Firstly, a strategy of initial location selection was proposed takingadvantage of network centrality.

zh-cn	然后，设计了拟合信息交互行为的蚁群模型路径转移机制；
en-us	Secondly, a novel path transfer mechanism was devised for the ant colony to fit the flowbehavior of entities.

zh-cn	最后，利用自适应的信息素动态更新机制引导信息流通路径优化。
en-us	Finally, an adaptive and dynamic pheromone update mechanism was designed for guiding the opti-mization of information flows.

zh-cn	在真实金融交互网络上的实验结果表明，所提模型在最优解质量和性能上均优于传统蚁群算法，且相比于贪心算法具有更好的覆盖率和准确率。
en-us	The experimental results show that the proposed model is superior to the traditional antcolony algorithm in both solving quality and solving performance, and has better coverage and accuracy than the greedyalgorithm.

zh-cn	针对网络智能共享需求，将区块链、人工智能等技术与网络融合，提出面向智能共享的内生可信网络体系架构，使网络资产共享具有内生可信。
en-us	To address the needs of intelligent sharing of network resources, blockchain and artificial intelligence were in-tegrated with the network, and an endogenous trusted resource intelligent sharing network architecture was proposed tomake network asset sharing have endogenous trust.

zh-cn	基于分布式联盟区块链，提出链上标识、链下信息关联的融合机制实现网络资源可信共享，设计可信共享协议实现共享数据安全实时交换，
en-us	Based on distributed alliance blockchain, an integration mechanism of on-chain identification and off-chain resource was proposed to achieve credible management of network resources.Security and trusted sharing protocols for network data was designed to synchronize data consensus within the network.

zh-cn	基于智能合约提出网络资源调度和服务组合方法实现服务可信共享。
en-us	Based on smart contract, network resource scheduling and service composition methods were presented to achieve trustedservice sharing.

zh-cn	最后将所提架构应用于域名解析、跨域认证、虚拟网络运营等去中心化场景,实现了区块链与网络融合，支撑网络资产内生可信共享。
en-us	Finally, the proposed architecture was applied to decentralized scenarios such as domain name resolution,cross domain authentication, and virtual network operation. The proposed architecture realizes the integration of block-chain and network and supports the endogenous trusted sharing of network assets.

zh-cn	为了解决多径传输中数据分组在接收端乱序从而导致传输性能大大降低问题，提出了车载异构网络中基于前向时延的多径传输路径调度优化算法。
en-us	In order to solve the problem that the data packets were out of order at the receiving end in the multipathtransmission, which greatly reduced the transmission performance, an optimization algorithm was proposed for multipathtransmission path scheduling based on forward delay in the vehicle heterogeneous network.

zh-cn	所提算法的主要思想是，根据发送方估计的前向时延和吞吐量差异，通过并发路径调度数据分组。
en-us	The main idea of the proposedalgorithm was to schedule data packets through a concurrent path according to the forward delay and throughput difference estimated by the sender.

zh-cn	在 NS-3 上进行了仿真实验，仿真结果表明，所提算法在重新排序缓冲区占用密度（RBD）和吞吐量的表现都优于其他算法，
en-us	A simulation experiment was carried out on NS-3. The simulation results show that compared with the previous algorithm, the proposed algorithm has better performance than other algorithms in reorder-buffer-occupancydensity (RBD) and throughput.

zh-cn	接收端的数据分组乱序问题明显降低，系统的总吞吐量和网络利用率得到了提高。
en-us	The problem of out-of-order data packets at the receiving end is significantly reduced, andthe total system throughput and network utilization have been improved.

zh-cn	为了用蒙特卡洛方法分析大气 OAM 光通信系统性能，提出一种模拟具有指定时间自相关的湍流扰动双Johnson S B 分布 OAM 光通信接收信号的方法。
en-us	In order to analyze the performance of atmospheric OAM optical communication systems by Monte Carlomethod, a method was proposed to simulate turbulence-distorted received signals in OAM optical communications,which possessed the given temporal auto-correlation and obeyed the dual Johnson S B distribution.

zh-cn	首先用自回归（AR）模型生成一个具有指定时间自相关的高斯随机数序列，同时另外产生一个服从双 Johnson S B 分布的白噪声随机样本序列；
en-us	A Gaussian randomsequence with given temporal auto-correlation was first created by using an auto regression (AR) model, and meanwhilea white noise random sample sequence obeying the dual Johnson S B distribution was generated.

zh-cn	然后根据自相关高斯随机数序列的统计秩，重新排列双 Johnson S B 分布白噪声随机样本序列的各个样本，以匹配指定的时间自相关。
en-us	Then the white noiserandom sample sequence was rearranged according to the statistical rank of the auto-correlated Gaussian random se-quence to match the given temporal auto-correlation.

zh-cn	通过仿真实验发现，模拟生成的信号的统计分布与双 Johnson S B 分布能很好地吻合，并且信号的时间自相关能匹配指定的时间自相关函数。
en-us	By performing the simulation experiments, it was found that the sta-tistical distribution of the simulated signals was in excellent agreement with the dual Johnson S B distribution, and thetemporal auto-correlation of the signals matched the given temporal auto-correlation function.

zh-cn	仿真结果表明，所提方法能够用于模拟受湍流扰动的 OAM 光通信时域接收信号。
en-us	The results demonstratethat the proposed method can be used to simulate time-domain received signals in OAM optical communications im-paired by turbulence-induced distortions.

zh-cn	为了解决定步长 LMS 算法不能同时满足快速收敛和低稳态误差的问题，提出了一种基于改进双曲正切函数的变步长 LMS 算法（IVSSLMS）。
en-us	In order to improve that the LMS algorithm for determining step size cannot satisfy both rapid convergenceand low steady-state misalignment errors, a variable step size algorithm (IVSSLMS) based on an improved hyperbolictangent function was proposed.

zh-cn	该算法利用步长反馈因子的二范数和误差信号的相关值来调节步长，克服了定步长算法收敛速度慢及抗噪声能力差的问题；
en-us	The step size feedback factor and the correlation value of the error signal were used toadjust the step size, and the problems of slow convergence speed and poor anti-noise ability of the fixed-step size algo-rithm was overcame.

zh-cn	并从理论上分析了算法的性能，给出了参数的取值方法。
en-us	The performance and parameters settings of the proposed algorithm were analyzed.

zh-cn	仿真实验结果表明，在高/低信噪比条件下，IVSSLMS 算法比已有变步长算法的收敛速度更快、稳态误差更小、系统跟踪能力更优。
en-us	The simulationresults show that IVSSLMS has a faster convergence rate, lower steady-state error and better system tracking capabilitythan the existing variable step size algorithms under high and low SNR conditions.

zh-cn	针对大规模时间敏感网络中时间触发流量的确定性时延问题，提出了一种分组调度机制。
en-us	In order to achieve the deterministic delay of time-triggered traffic in a large-scale time-sensitive network, akind of group-scheduling mechanism was proposed.

zh-cn	所提机制通过拓扑修剪策略和基于谱聚类的流分组策略，避免了由于网络拓扑规模和流量规模剧增对调度响应速度的影响，提升了调度计算效率。
en-us	By designing a topology pruning strategy and a flow grouping strat-egy based on spectral clustering, the impact of the rapid increase in network topology scale and traffic scale on the speedof scheduling response was avoided, and the scheduling calculation efficiency was improved.

zh-cn	仿真实验结果表明，所提机制在大规模调度的场景下，可以在较短时间内进行模型的求解，并且保证一定的调度成功率。
en-us	The results of experimentshow that the mechanism can solve the model in a relatively short time for large-scale scheduling problem and achieve arelatively high scheduling success rate.

zh-cn	针对基于深度卷积神经网络的高光谱图像分类算法中存在的空间分辨率下降、池化操作引发特征丢失从而导致分类精度下降的问题，设计了一种由双边融合块构成的双边融合块网络。
en-us	Aiming at the issues of decreasing spatial resolution and feature loss caused by pooling operation in depthCNN-based hyperspectral image classification algorithm, a bilateral fusion block network （DFBN）composed of bilateralfusion blocks was designed.

zh-cn	1×1 卷积与超链接构成双边融合块上结构，传递局部空间特征，池化、卷积、反卷积、上采样组成下结构，强化高效判别特征。
en-us	The upper structure of bilateral fusion block was constituted by 1×1 convolution and hyper-link, which was used to transfer local spatial characteristics. The lower structure was constituted by pooling layer, convo-lutional layer, deconvolution layer and upsampling to enhance the characteristics of efficient discrimination.

zh-cn	在 3 个基准高光谱图像数据集上的实验结果表明，该模型优于其他同类分类模型。
en-us	Experimen-tal results on three benchmark hyperspectral image data sets illustrate that the model is superior to other similar classifi-cation models.

zh-cn	将认知无线电技术应用于非正交多址接入（NOMA）协作多播系统，研究了将用户作为中继的可行性，提出了一种带参数的多播候选集的二级协作传输方案。
en-us	The cognitive radio technology was applied to non-orthogonal multiple access (NOMA) cooperative multicastsystem, the feasibility of using users as relays was studied, and a two-level cooperative transmission scheme with para-meterized multicast candidate sets was proposed.

zh-cn	该方案先由基数 q 选出候选集，再根据主用户和候选次用户之间的信道增益选出最佳的转发节点。
en-us	Specifically, the scheme first selected the candidate set according to thecardinality q, and then selected the best forwarding node based on the channel gain between the primary users and thecandidate secondary users.

zh-cn	仿真结果表明，通过合理选择构造参数 q，所提方案在减少次用户分集增益损失的同时，能够大幅提高主用户的分集增益。
en-us	Simulation results show that, through the reasonable selection of the cardinality q, the pro-posed scheme can greatly reduce the diversity gain of the secondary users while simultaneously increasing the diversitygain of the primary users.

zh-cn	在 N 个多播用户组成的 NOMA 协作多播场景中，将主用户的分集增益从 2 提升到 min(N−q+2, q+1)，满足主用户可靠性的要求。
en-us	In NOMA cooperative multicast scenario composed of N multicast users, the proposed schemecan increase the diversity gain of the primary users from 2 to min(N−q+2, q+1) to meet their reliability requirements.

zh-cn	为了在非持续连通的容迟网络部署区块链，设计了可运行于该网络的区块链贸易机制。
en-us	In order to deploy a blockchain on the non-continuous connectivity delay tolerant network, a blockchain trad-ing mechanism was designed, which could run on this type of network.

zh-cn	首先，将标志位引入现有的区块数据结构上，提出了可用于追加网络非联通状态生成区块的附链存储结构；
en-us	First, the identifier was introduced into the exist-ing block structure and a block structure on the attached chain was presented, which could append the blocks generatedduring network disconnection.

zh-cn	其次，提出了附链区块贸易打包方法、挖掘方法和共识方法；
en-us	Then, the approaches including the block package, block mining and block consensus onthe attached chain were proposed.

zh-cn	最后，提出了避免附链追加过程中区块欺诈的确认共识方法。
en-us	Finally, a confirming consensus approach was presented to avoid block fraud in theprocess of appending the attached chain.

zh-cn	通过理论证明和实验分析可知，提出的机制可实现在容迟网络中支持区块链贸易。
en-us	Through theoretical proof and experimental analysis, the proposed mechanismcan support blockchain trading in the delay tolerant network.

zh-cn	为了增强检测模型的准确率与泛化性，提出了一种可变融合的随机注意力胶囊网络的入侵检测模型，通过特征动态融合，模型能够更好地捕捉数据特征；
en-us	In order to enhance the accuracy and generalization of the detection model, an intrusion detection model ofrandom attention capsule network with variable fusion was proposed. Through dynamic feature fusion, the model couldbetter capture data features.

zh-cn	同时使用随机注意力机制，减少了对训练数据的依赖，使模型更具有泛化能力。
en-us	At the same time, random attention mechanism was used to reduce the dependence on train-ing data and make the model more generalization.

zh-cn	所提模型在 NSL-KDD 和 UNSW-NB15 数据集上进行验证，实验表明，模型在 2 种测试集上的准确率分别达到了 99.49%和 98.60%。
en-us	The model was validated on NSL-KDD and UNSW-NB15 datasets.The experimental results show that the accuracy of the model on the two test sets is 99.49% and 98.60% respectively.

zh-cn	在特征为 2 的有限域 F 2 上的 n 维线性空间2nF 中，给出了旋转对称轨道的若干性质，定义了旋转对称轨道的数对 00、01 和 11 的分布矩阵，给出了一个 2-弹性旋转对称函数的新刻画，
en-us	Some properties of rotation symmetric orbits were proposed in n dimensional vector space over finite field ofcharacteristic 2, a matrix on the distributions of number pairs such as 00, 01 and 11 was defined, and a new characteriza-tion of 2-resilient rotation symmetric functions was introduced.

zh-cn	通过修改已有的线性旋转对称弹性函数 f 0 (x)=x 1 +x 2 + … +x n 的支撑集（其中 n=4t−1），给出了一个基于轨道交换技术的一类 4t−1 元旋转对称 2-弹性函数的构造方法，并通过实例说明了所提构造方法的思想。
en-us	Constructions of rotation symmetric 2-resilient Booleanfunctions with 4t-1 number of variables were presented by modifying the support of the linear rotation symmetric func-tions, such as f 0 (x)=x 1 +x 2 + … +x n , where n=4t−1. At last, an example was demonstrated to introduce the spirit of the pro-posed method to construct 2-resilient rotation symmetric functions with 4t-1 number of variables.

zh-cn	针对机器类通信（MTC）中大规模机器类通信（mMTC）和超可靠低时延通信（URLLC）的混合场景下差异化的随机接入需求，提出了一种面向差异化 MTC 场景需求的随机接入方案。
en-us	For the different random access requirements of the mixed scenarios of ultra-reliable low latency (URLLC)and massive machine type communications (mMTC) in MTC, a random access scheme based on devices grouping wasproposed.

zh-cn	该方案根据设备定时提前（TA）信息进行分组：
en-us	The proposed scheme divided the MTC devices into several groups based on the timing advance (TA) informa-tion:

zh-cn	对于 URLLC 设备，基站为组内核心设备预留前导码资源并通过非竞争方式接入网络，进而满足URLLC 场景的高可靠低时延接入需求；
en-us	for the URLLC scenario, preamble resources were reserved for core devices in each group, and the URLLC devicesaccessed the network via the contention-free mechanism, to satisfy the ultra-reliable low latency access requirement;

zh-cn	对于 mMTC 设备，基站利用不同设备组 TA 信息的差异来区分选择相同前导码设备，并利用迭代干扰消除（SIC）检测设备数据信息，进而满足 mMTC 场景的海量接入需求。
en-us	for the mMTC scenario, the base station utilized the different TA information in different group to identify devices selectingthe same preamble, and performed successive interference cancellation (SIC) algorithm to detect the data information, to satisfy the massive access requirement.

zh-cn	仿真结果表明，本方案能够显著提升成功接入设备数。
en-us	Simulation results demonstrate that the proposed scheme can significantly in-crease the number of the successful devices.

zh-cn	随着轨道角动量（OAM）光通信技术的研究不断深入，OAM 路由器件在提升通信系统的灵活性和实用性方面扮演着重要的角色，近些年，具有特定功能的 OAM 路由器件的研究得到了飞速发展。
en-us	With the development of orbital angular momentum (OAM) based optical communication technology, OAMrouter played an important role in improving the flexibility and practicability of OAM communication system. In recent years, the research on multifunctional OAM router had also been developed rapidly.

zh-cn	基于此，对近些年 OAM 路由器件的研究成果进行了概述，对其中可实现信道切换、多播、滤波、添加/提取、跳变和模式划分 6 类 OAM 路由器件的原理、研究方法及优缺点进行了讨论与总结，同时对 OAM 路由器件未来的发展趋势进行了展望。
en-us	Based on this, the research results onthe OAM router had been summarized and reviewed, in which the principles, research methods, advantages and disad-vantages of six types of OAM router, with the functions of switching, multicast, filtering, adding/extraction, and jumpingand mode dividing respectively, had been discussed and summarized in details. Meanwhile, the future developing trend of the OAM router has also been prospected and discussed in the end.

zh-cn	针对波达方向（DOA）估计中非圆信号多重信号分类（NC-MUSIC）算法运算复杂度过高的问题，提出了一种结合子空间旋转的非圆信号快速 DOA 估计算法。
en-us	In order to solve the problem that the high computational burden of the multiple signal classification algorithmof non-circular signal (NC-MUSIC) in direction-of-arrival (DOA) estimation, a novel computationally efficient DOAestimation algorithm based on subspace rotation technique was proposed.

zh-cn	所提算法首先利用对噪声子空间矩阵分块和子空间旋转技术（SRT）构造降维噪声子空间；
en-us	Firstly, the partitioning of noise subspacematrix and the subspace rotation technique (SRT) were used to construct a new reduced-dimension noise subspace.

zh-cn	然后根据降维噪声子空间与扩展后阵列流型矩阵张成空间的正交性和变量分离，将 NC-MUSIC 算法中的二维谱峰搜索转化为一维谱峰搜索。
en-us	Then,the two-dimensional peak searching was converted to the one-dimensional peak searching on the basis of the separationof variables and the orthogonality between the new reduced-dimension noise subspace and the space spanned by thecolumns of the extended manifold matrix.

zh-cn	所提算法通过二维谱峰搜索到一维谱峰搜索的转化和去除一维谱峰搜索中冗余计算的方式提高了算法的计算效率。
en-us	The proposed algorithm can enhance the computational efficiency by means of the conversion of the two-dimensional peak searching into the one-dimensional peak searching and the removal ofredundant computations.

zh-cn	理论分析和仿真结果表明，与 NC-MUSIC算法相比，所提算法可在保证 DOA 估计精度的前提下将算法运算复杂度降至 NC-MUSIC 算法运算复杂度的 5%以下；
en-us	Theoretical analysis and simulation results show that the proposed algorithm can reduce thecomputational complexity to less than 5% as compared to NC-MUSIC algorithm on the premise of ensuring the accuracyof DOA estimation.

zh-cn	尤其对于阵元数目较多的场景，所提算法的计算效率优势更明显。
en-us	Especially, the efficiency advantage of the proposed algorithm is more obvious in scenarios where thelarge numbers of sensors are required.

zh-cn	在区块链赋能的移动边缘计算（BMEC）系统中，针对各类新型计算任务并行性需求的差异，提出了一种基于异构计算的 BMEC 系统模型，通过调用异构计算架构中并行计算能力不同的处理器，实现区块链业务与用户业务的高效处理。
en-us	In blockchain-enabled mobile edge computing (BMEC) systems, a new class of blockchain application relatedcomputation tasks was introduced to the system. Due to the differences of parallelism among computation tasks, hetero-genous computing framework was introduced to suitably split various computation tasks on processors with vastly dif-ferent processing power to achieve efficient task execution.

zh-cn	通过综合考虑异构处理器调度、计算资源分配以及带宽资源分配，将通信及计算资源受限下的系统效用最大化问题建模为混合整数非线性问题。
en-us	Under the limited computation and communication resources,a system-wide utility maximization problem by jointly considering heterogeneous processor scheduling, computation andbandwidth resource allocation was formulated as a mixed-integer nonlinear programming problem.

zh-cn	为了快速求解该问题，将所提模型进一步解耦为业务驱动的异构处理器调度问题和资源联合分配问题，并提出了基于拉格朗日对偶理论的联合优化算法。
en-us	To solve the problem efficiently, the formulated problem was transformed into two sub-problems, namely application-driven heterogeneousprocessor scheduling and joint resource allocation, and a Lagrange-dual based algorithm was proposed.

zh-cn	仿真结果表明，所提算法可以有效提升 BMEC 系统的系统效用。
en-us	Simulation results show that the proposed scheme can effectively improve the system-wide utility of the BMEC system.

zh-cn	针对无人机辅助的边缘计算系统，提出了一种两阶段交替优化算法以最大化系统能量效率，该优化问题复杂且非凸。
en-us	For the unmanned aerial vehicle (UAV)-assisted edge computing system, a two-stage alternative algorithmwas proposed to solve the formulated complex non-convex problem.

zh-cn	为此，首先利用 Dinkelbach 方法将建模的非线性分式规划问题转换为一类等价的参数寻优问题。
en-us	Firstly, the formulated non-linear fractional pro-gramming problem was reformulated to the equivalent parametric problem by using Dinkelbach method.

zh-cn	其次，将其拆分成 2 个子问题进行交替优化。利用拉格朗日对偶法，给出了中央处理单元频率和数据比特量的闭式解。
en-us	Secondly,two sub-problems were further considered based on it. By employing the Lagrange duality method, the closed-formsolutions for the central processing unit frequencies and the number of data bits were derived.

zh-cn	最后，所获得的解揭示了源节点选择卸载与共享自身数据和无人机中继选择转发计算结果的必要条件，以及实现更高能量效率的方法。
en-us	Finally, based on thesolutions obtained, the conditions that the source node prefers to offload/share its data and the relay chooses to for-ward the computation results, as well as the approaches to achieve high energy efficiency were revealed.

zh-cn	仿真结果表明，与传统算法相比，所提算法在能量效率方面可获得最高近 20 倍的性能提升。
en-us	Numericalresults demonstrate that the proposed design can achieve a performance improvement of up to 20 times over the con-ventional schemes.

zh-cn	为了提升多用户计算任务卸载时的系统效用，提出了一种基于边云联合计算的多用户任务卸载方案。
en-us	A computation offloading scheme based on edge-cloud computing was proposed to improve the system utilityof multiuser computation offloading.

zh-cn	该方案在提升系统效用的同时，考虑了边云资源的协同优化问题。
en-us	This scheme improved the system utility while considering the optimization ofedge-cloud resources.

zh-cn	针对计算任务卸载模式的选择及边云资源分配的问题，设计了一种基于次模理论的贪心算法并充分利用了云端以及边缘端的计算和通信资源。
en-us	In order to tackle the problems of computation offloading mode selection and edge-cloud resourceallocation, a greedy algorithm based on submodular theory was developed by fully exploiting the computing and commu-nication resources of cloud and edge.

zh-cn	仿真结果表明，所提方案能够有效降低计算任务执行的时延和能耗，且当多用户卸载计算任务时，所提方案在资源受限的条件下仍然能够保持稳定的系统性能。
en-us	The simulation results demonstrate that the proposed scheme effectively reduces thedelay and energy consumption of computing tasks. Additionally, when computing tasks are offloaded to edge and cloudfrom devices, the proposed scheme still maintains stable system utilities under ultra-limited resources.

zh-cn	为解决移动边缘计算（MEC）网络中面向用户的服务功能链部署（SFC）算法系统开销过大、业务拥塞严重等问题，针对部署 MEC 服务器的多基站多用户边缘网络，提出了一种面向内容的联合无线多播的 SFC 部署算法。
en-us	To resolve the excessive system overhead and serious traffic congestion in user-oriented service function chain(SFC) embedding in mobile edge computing (MEC) networks, a content-oriented joint wireless multicast and SFC em-bedding algorithm was proposed for the multi-base station and multi-user edge networks with MEC servers.

zh-cn	综合考虑数据流、服务器功能维护功耗、服务器功能服务功耗和无线传输功耗 4 种系统开销，建立波束成形设计和 SFC 映射的联合优化模型。
en-us	By involving four kinds of system overhead, including service flow, server function sustaining power, server function service powerand wireless transmission power, an optimization model was proposed to jointly design SFC embedding with multicast beam forming.

zh-cn	首先，利用拉格朗日对偶分解技术，将优化问题解耦为 SFC 部署和波束成形设计 2 个独立子问题；
en-us	Firstly, with Lagrangian dual decomposition, the problem was decoupled into two independent subprob-lems, namely, SFC embedding and multicast beamforming.

zh-cn	其次，利用基于 L p 范数惩罚项的连续凸近似算法，将整数形式的 SFC 部署问题松弛为一个等价线性规划问题；
en-us	Secondly, with the L p  norm penalty term-based successiveconvex approximation algorithm, the integer programming-based SFC embedding problem was relaxed to an equivalentlinear programming one.

zh-cn	最后，利用路径跟随技术，将非凸波束向量优化问题转化为一系列凸优化子问题。
en-us	Finally, the non-convex beamforming optimization problem was transformed into a series ofconvex ones via the path following technique.

zh-cn	仿真结果表明，所提算法具有较好收敛性能，并在系统开销方面优于传统的最优单播 SFC 部署算法和随机多播 SFC 部署算法。
en-us	Simulation results revealed that the proposed algorithm has good conver-gence, and is superior to both the optimal SFC embedding with unicasting and random SFC embedding with multicastingin terms of system overhead.

zh-cn	考虑不同物联网系统的异构性以及集中化数据处理平台单点故障等问题，提出一种基于区块链技术的去中心化物联网数据共享和存储方案。
en-us	Considering the heterogeneity of various IoT system and the single point failure of centralized data-processingplatform, a decentralized IoT data sharing and storage method based on blockchain technology was proposed.

zh-cn	通过存储证明（PoS）的共识机制，实现区块共识和共享数据的分布式存储。
en-us	The blockconsensus and decentralized storage of shared data were realized through the PoS consensus mechanism.

zh-cn	基于 Gossip 协议提出一种在区块链网络的共识节点和验证节点间的区块分层传播机制。
en-us	A block layeredpropagation mechanism between consensus node and verified node was proposed based on the Gossip protocol.

zh-cn	然后，推导了区块传播时延模型以及区块链网络的去中心化评估模型，同时对区块传播时延以及网络去中心化程度进行均衡化分析。
en-us	The block propagation delay model and decentralization evaluation model of blockchain networks were derived. The trade-off betweenthe block propagation delay and the decentralization degree of networks was analyzed.

zh-cn	仿真结果表明，随着共识节点的能力最小值增加，区块传播时延、区块链网络去中心化程度减小。
en-us	The simulation results demonstratethat the block propagation delay and degree of network decentralization decrease with the increase of minimal capabilities ofconsensus nodes.

zh-cn	作为应用示例，针对确诊患者轨迹数据共享场景，基于以太坊开发平台进行了数据共享智能合约的实现和测试。
en-us	As an application example, in the trajectory data sharing scenario of confirmed patients, the data sharingsmart contract is implemented and tested based on the Ethereum development platform.

zh-cn	针对无线供能边缘计算网络，提出了一种兼顾边缘服务器有限计算能力的系统计算能效最大化资源分配方法。
en-us	For wireless powered mobile edge computing (MEC) network, a system computation energy efficiency (CEE)maximization scheme by considering the limited computation capacity at the MEC server side was proposed.

zh-cn	具体而言，通过联合优化边缘服务器和用户的计算频率与时间、边缘用户的发射功率与卸载时间、能量收集时间、本地计算时间及专用能量站的发射功率来建立一个系统计算能效最大化的优化问题。
en-us	Specifically,a CEE maximization optimization problem was formulated by jointly optimizing the computing frequencies and execu-tion time of the MEC server and the edge user(EU), the transmit power and offloading time of each EU, the energy har-vesting time and the transmit power of the power beacon.

zh-cn	由于所建立的问题是一个高度非凸的分式规划问题且难以求解，因此首先通过引入广义分式规划理论将原问题转化为一个减式非凸问题，然后利用一系列辅助变量将其转化为一个等价的凸问题，并据此提出一种迭代算法来获取原问题的最优解。
en-us	Since the formulated optimization problem was a non-convexfractional optimization problem and hard to solve, the formulated problem was firstly transformed into a non-convex sub-traction problem by means of the generalized fractional programming theory and then transform the subtraction probleminto an equivalent convex problem by introducing a series of auxiliary variables.

zh-cn	仿真结果验证了所提迭代算法的快速收敛性，并通过与其他方案进行比较，证明了所提的资源分配方案能够取得更高的系统计算能效。
en-us	On this basis, an iterative algorithm toobtain the optimal solutions was proposed. Simulation results verify the fast convergence of the proposed algorithm andshow that the proposed resource allocation scheme can achieve a higher CEE by comparing with other schemes.

zh-cn	现有跨数据集行人再识别方法一般致力于减小 2 个数据集之间的数据分布差异，忽略了背景信息对识别性能的影响。
en-us	The existing cross-dataset person re-identification methods were generally aimed at reducing the difference ofdata distribution between two datasets, which ignored the influence of background information on recognition perfor-mance.

zh-cn	针对上述问题，提出了一种基于多池化融合与背景消除网络的跨数据集行人再识别方法。
en-us	In order to solve this problem, a cross-dataset person re-ID method based on multi-pool fusion and backgroundelimination network was proposed.

zh-cn	为了兼顾全局特征和局部特征，同时实现特征的多细粒度表示，构建了多池化融合网络。
en-us	To describe both global and local features and implement multiple fine-grained repre-sentations, a multi-pool fusion network was constructed.

zh-cn	为了使监督网络能提取有用的行人前景特征，构建了特征级有监督背景消除网络。
en-us	To supervise the network to extract useful foreground features, afeature-level supervised background elimination network was constructed.

zh-cn	采用结合行人分类损失及特征激活损失的多任务学习损失函数，在 3 个公开行人再识别数据集上对方法进行评估，当 MSMT17 作为训练集时，Market-1501 上的跨数据集识别性能 mAP 为 35.53%，相比 ResNet50 网络提升了 9.24%；
en-us	The final network loss function was defined asa multi-task loss, which combined both person classification loss and feature activation loss. Three person re-ID bench-marks were employed to evaluate the proposed method. Using MSMT17 as the training set, the cross-dataset mAP forMarket-1501 was 35.53%, which was 9.24% higher than ResNet50.

zh-cn	DukeMTMC-reID 上的跨数据集识别性能 mAP 为 41.45%，相比于 ResNet50 网络提升了 10.72%。
en-us	Using MSMT17 as the training set, the cross-datasetmAP for DukeMTMC-reID was 41.45%, which was 10.72% higher than ResNet50.

zh-cn	与现有方法相比，所提方法具有更优的跨数据集行人再识别性能。
en-us	Compared with existing methods, the proposed method shows better cross-dataset person re-ID performance.

zh-cn	针对当前网络安全领域知识获取中所依赖的流水线模式存在实体识别错误的传播，未考虑实体识别与关系抽取任务间的联系，以及模型训练缺乏标签语料的问题，提出一种融合对抗主动学习的端到端网络安全知识三元组抽取方法。
en-us	Aiming at the problem that using pipeline methods for extracting cybersecurity knowledge triples may causethe errors propagation of entity recognition and did not consider the correlation between entity recognition and relationextraction, and training triple extraction model lacked labeled corpora, an end-to-end cybersecurity knowledge triple ex-traction method with adversarial active learning was proposed.

zh-cn	首先，将实体识别与关系抽取通过联合标注策略建模为序列标注任务；
en-us	For knowledge triple extraction, the conventional entityrecognition and relation extraction were modelled as sequence labeling task through joint labeling strategy firstly.

zh-cn	然后，设计融合动态注意力机制的 BiLSTM-LSTM 模型实现实体与关系的联合抽取，并形成三元组；
en-us	And then, a BiLSTM-LSTM-based model with dynamic attention mechanism was designed to jointly extract entities and rela-tions, forming triples.

zh-cn	最后，基于对抗网络训练一个判别器模型，增量地筛选出高质量的待标注数据进行标注，并通过迭代训练不断提升联合抽取模型的性能。
en-us	Finally, with adversarial learning framework, a discriminator was trained to incrementally selecthigh-quality samples for labeling, and the performance of the joint extraction model was continuously enhanced by itera-tive retraining.

zh-cn	通过实验表明，所提方案中实体−关系联合抽取模型优于现有的网络安全知识抽取方案，并验证了对抗主动学习方法的有效性。
en-us	Experiments show that the proposed joint extraction model outperforms the existing cybersecurityknowledge triple extraction methods, and demonstrate the effectiveness of proposed adversarial active learning scheme.

zh-cn	为了解决大数据流式计算平台中存在计算负载剧烈波动，但集群因资源不足而遇到性能瓶颈的问题，提出了 Flink 环境下基于负载预测的弹性资源调度（LPERS-Flink）策略。
en-us	In order to solve the problem that the load of big data stream computing platform fluctuates drastically whilethe cluster was suffering from the performance bottleneck due to the shortage of computing resources, the load predictionbased elastic resource scheduling strategy in Flink (LPERS-Flink) was proposed.

zh-cn	首先，建立负载预测模型并在此基础上提出负载预测算法，预测集群负载的变化趋势；
en-us	Firstly, the load prediction model wasset up as the foundation to propose the load prediction algorithm and predict the variation tendency of the processing load.

zh-cn	其次，建立资源判定模型，以判定集群出现资源瓶颈与资源过剩的问题，由此提出弹性资源调度算法，制定弹性资源调度计划；
en-us	Secondly, the resource judgment model was set up to identify the performance bottleneck and resource redundancy of thecluster while the resource scheduling algorithm was proposed to draw up the resource rescheduling plan.

zh-cn	最后，通过在线负载迁移算法执行调度计划，实现高效的节点间负载迁移。
en-us	Finally, the online load migration algorithm was proposed to execute the resource rescheduling plan and migrate processing loadamong nodes efficiently.

zh-cn	实验结果表明，该策略在负载剧烈波动的应用场景中有较好的优化效果，实现了集群规模和资源配置对负载变化的及时响应，降低了负载迁移的通信开销。
en-us	The experimental results show that the strategy provides better performance promotion in theapplication with drastically fluctuating processing load. The scale and resource configuration of the cluster responded to the variation of processing load in time and the communication overhead of the load migration was reduced effectively.

zh-cn	随着全球数据量的激增，集中式云计算无法提供低时延、高效率的视频监控服务。
en-us	With the explosion of global data, centralized cloud computing cannot provide low-latency, high-efficiency video surveillance services.

zh-cn	基于此，提出分布式边缘计算模型，在边缘端直接处理视频数据，减少网络的传输压力，缓解中央云服务器的计算负担，降低视频监控系统的处理时延。
en-us	A distributed edge computing model was proposed, which directly processed video data at theedge node to reduce the transmission pressure of the network, eased the computational burden of the central cloud server,and reduced the processing delay of the video surveillance system.

zh-cn	结合联邦学习算法，采用轻量级神经网络，分场景训练模型，并将其部署于计算能力受限的边缘设备上。
en-us	Combined with the federated learning algorithm, alight weight neural network was used, which trained in different scenarios and deployed on edge devices with limitedcomputing power.

zh-cn	实验结果表明，对比通用神经网络模型，所提方法检测准确度提高 18%，模型训练时间有效减少。
en-us	Experimental results show that, compared with the general neural network model, the detection accu-racy of the proposed method is improved by 18%, and the model training time is reduced.

zh-cn	针对天地一体化网络时变多维资源与差异多样化业务导致网络端到端时延难保障、网络资源利用率难提升等问题，提出基于时变图的天地一体化网络时间确定性路由算法及协议。
en-us	In terms of the difficulties to construct the end-to-end path and improve the utilization of network resources,caused by the time-varying multi-dimensional resources and diverse services over the space-ground integrated networks,the time-varying graph-based time deterministic routing algorithm and protocol for the space-ground integrated networkwas proposed.

zh-cn	构建时变连续图模型，用于表征天地一体化网络时变拓扑、链路连通时段、节点缓存等多维资源的时空属性；
en-us	Firstly, a time-varying continuous graph model was constructed to describe the spatial and temporal attrib-utes of multi-dimensional resources, such as the topology, link connectivity opportunities, node caching and so on.

zh-cn	提出面向业务的时间确定性路由算法，依据链路累积流量计算规则、节点流守恒约束与节点缓存约束，构建具有时间属性的最短时延路径；
en-us	Then,a service-oriented time deterministic routing algorithm was proposed. According to the calculation rules of link cumula-tive traffic, and the constraints of node flow conservation and cache, the time-varying path with the shortest transmission delay was constructed.

zh-cn	将所提路由算法与分段路由（SR）技术以及时间敏感网络（TSN）技术相结合，设计具有时延保障的时间确定路由协议，支持时变网络环境中拓扑发现、确定性路由的高效计算以及分组的定时转发。
en-us	After that, a delay-guaranteed time deterministic routing protocol was designed by combining the proposed routing algorithm with both the segment routing technology and the time sensitive network technology, whichsupported the dynamic topology discovery, the efficient calculation of deterministic routing and the timing forwarding ofdata packets on the time-varying network.

zh-cn	仿真结果表明，通过关联利用链路资源与节点存储资源，与基于快照图和接触图的路由算法相比，所提路由算法的链路资源利用率高、分组成功投递率高，保障了业务的端到端传输时延。
en-us	The simulation results show that, compared with the routing algorithm basedon snapshot graph and contact graph, the proposed routing algorithm has higher link resource utilization rate and thepacket successful delivery rate by jointly using link and node storage resources by association, and ensures the end-to-endtransmission delay of services.

zh-cn	考虑保密容量为负的情形，利用混沌序列对信息序列进行加密并且对冻结比特进行填充，并结合多块 polar编码结构，提出了一种具有较低复杂度和较高安全传输速率的 polar 码加密方案。
en-us	A chaos based encrypted polar coding scheme, which could be applied to the negative secrecy capacity case,was proposed. Chaotic sequences were employed to encrypt the information bits and fill the frozen bits. And multi-blockpolar coding structure was also employed in the proposed scheme.

zh-cn	从可靠性、安全性、传输效率这 3 个方面对所提 polar 码加密方案进行相应的数学证明和理论分析。
en-us	The proposed scheme was featured as lower complex-ity and higher secrecy transmission rate. Corresponding mathematical analysis had been performed in terms of the errorprobability, security and transmission rate.

zh-cn	结果表明，所提方案在保密容量为负的情形下，在保障可靠、安全的通信的基础上，可达到较高的安全传输速率，且具有较低的实现复杂度。
en-us	The result reveals that the proposed scheme can achieve reliability, security innegative secrecy capacity case. What's more, it has relatively low complexity and high secrecy transmission rate com-pared with the existing schemes.

zh-cn	为了提高通信系统的安全性能且使有限的频谱得到高效利用，将填充式认知无线电（OCR）与非正交多址接入（NOMA）技术相结合，提出了一个次网络通过感知主用户是否占用频谱来实现辅助主网络通信或次网络通信的动态切换的系统模型。
en-us	In order to improve the secrecy performance of communication system and make efficient use of limited spec-trum, overlay cognitive radio (OCR) technology was combined with non-orthogonal multiple access (NOMA) technologyand the communication model was proposed, in which secondary network realized dynamic switching between assistingprimary network communication and secondary network communication by sensing whether the primary user occupiedthe spectrum or not.

zh-cn	主次网络均采用人工噪声（AN）技术进一步改善系统的安全传输性能。
en-us	Artificial noise (AN) aided technology was used in primary and secondary networks respectively tofurther improve the secrecy performance of the system.

zh-cn	通过分别推导主、次网络安全中断概率和安全吞吐量的表达式来研究系统的安全中断性能。
en-us	The secrecy performance of the system was studied by deducingthe expressions of the primary and secondary network secrecy outage probability and secrecy throughput respectively.

zh-cn	仿真结果表明了所提出的认知协作 NOMA方案在降低中断概率、提高吞吐量方面的有益效果，
en-us	The simulation results show that the proposed cognitive cooperative NOMA communication scheme is beneficial in re-ducing secrecy outage probability and increasing secrecy throughput.

zh-cn	并且进一步给出了人工噪声功率分配因子对系统性能的影响。
en-us	Furthermore, the influence of AN power allocationfactor on system performance is given.

zh-cn	为了改善深空通信质量，在深空中引入了混合 RF-FSO 系统以及混合 LPPM-BPSK-SIM 调制。
en-us	In order to improve the quality of deep space communication, a mixed RF-FSO system and hybridLPPM-BPSK-SIM scheme were introduced in deep space.

zh-cn	在不同太阳风波动的环境中，对比分析了采用混合 RF-FSO 系统与 FSO 系统的误码率特性。
en-us	The bit error rate of the hybrid RF-FSO system and the FSOsystem were compared and analyzed under the impact of solar wind fluctuation.

zh-cn	仿真结果表明，深空通信中，采用混合 RF-FSO 系统的误码率低于传统 FSO 系统。当采用混合 LPPM-BPSK-SIM 时，系统性能又得到进一步提升。
en-us	The simulation results indicate that thedeep space communication system achieves better bit error rate performance by using hybrid RF-FSO system, and thesystem performance can be further enhanced by adopting hybrid LPPM-BPSK-SIM.

zh-cn	研究多输入多输出全双工双向通信系统中，合法节点在接收信息的同时向对方发送保密信息，并协同发送人工噪声的物理层安全方案的预编码矩阵设计。
en-us	The design of precoding matrices was studied in the multiple input multiple output (MIMO) full-duplextwo-way security communication system where legitimate nodes transmit the confidential information accompanied by the artificial noise while receiving information.

zh-cn	针对合法信道、窃听信道的信道状态信息完美的场景，使用DC 规划优化信息信号与人工噪声的预编码矩阵以最大化系统保密和速率。
en-us	For the scenario where the perfect channel state information (CSI) of le-gitimate channels and eavesdropping channels was available, the difference of concave/convex (DC) programming wasused to optimize the precoding matrices of the information signal and the artificial noise for the maximization of the se-crecy sum rate.

zh-cn	对于信道 CSI 不完美的场景，使用最差准则建模信道，利用加权最小均方误差算法对预编码矩阵进行稳健设计。
en-us	For the scenario where the CSI was imperfect, the channels were modeled by using worst-case criterionand the weighted minimum mean square error algorithm was used to get the robust precoding matrices of the informationsignal and the artificial noise.

zh-cn	仿真结果验证了优化算法能有效提高系统的保密和速率。
en-us	The simulation results prove that the proposed algorithm can effectively promote the se-crecy sum rate of the system.

zh-cn	为实现车辆终端用户任务执行时延与处理速率、能耗的最佳均衡关系，针对车联网的边缘接入环境，提出了一种基于深度 Q 网络（DQN）的计算任务分发卸载算法。
en-us	In order to achieve the best balance between latency, computational rate and energy consumption, for a edgeaccess network of IoV, a distribution offloading algorithm based on deep Q network (DQN) was considered.

zh-cn	首先根据层次分析法对不同车辆终端的计算任务进行优先级划分，从而为计算任务处理速率赋予不同的权重建立关系模型；
en-us	Firstly, thesetasks of different vehicles were prioritized according to the analytic hierarchy process (AHP), so as to give differentweights to the task processing rate to establish a relationship model.

zh-cn	然后引入基于深度 Q 网络的边缘计算方法，以计算任务处理速率加权和为优化目标建立任务卸载模型；最后建立基于 DQN 的车辆终端自主最优任务卸载策略，最大化卸载决策制定模型的长期效用。
en-us	Secondly, by introducing edge computing based onDQN, the task offloading model was established by making weighted sum of task processing rate as optimization goal,which realized the long-term utility of strategies for offloading decisions.

zh-cn	仿真结果表明，相比 Q 学习算法，所提算法有效提高了任务执行效率。
en-us	The performance evaluation results show that,compared with the Q-learning algorithm, the average task processing delay of the proposed method can effectively im-prove the task offload efficiency.

zh-cn	为了缓解大气湍流对星地激光通信系统性能的影响，基于 M 分布大气信道模型，在星地激光通信上行链路和下行链路中提出了一种多载波相干正交频分复用（OFDM）调制系统，推导了星地激光通信上行链路和下行链路相干 OFDM 调制系统误码率的闭合表达式。
en-us	In order to alleviate the influence of atmospheric turbulence on the performance of satellite-to-ground laser communication system, based on the M-distribution atmospheric channel model, a multi-carrier coherent orthogonal fre-quency division multiplexing (OFDM) modulation system was proposed for uplink and downlink in the satel-lite-to-ground laser communication. The closed-form expression of bit error rate (BER) of coherent OFDM modulationsystem was derived.

zh-cn	在弱大气湍流和强大气湍流下，分别研究了天顶角、接收孔径、信噪比、最佳束散角以及最佳发射半径与系统误码率的关系，并与二进制相干差分相移键控（DPSK）调制进行比较。
en-us	The relationship between the zenith angle, receiving aperture, signal-to-noise ratio (SNR), optimalbeam divergence angle, and optimal transmission radius and the BER were studied under weak, and strong atmosphereturbulence, and compared with binary coherent differential phase shift keying (DPSK) modulation.

zh-cn	理论和仿真对比结果表明，星地激光通信系统中采用相干 OFDM 调制系统的误码性能优于相干 DPSK调制系统。
en-us	Both the theory andthe simulation results show that compared with coherent DPSK modulation, the bit error performance of the coherentOFDM modulation system in the satellite-to-ground laser communication system is better.

zh-cn	针对边缘环境下的图像隐私泄露和计算效率问题，提出一种边缘协作的轻量级安全区域建议网络（SecRPN）。
en-us	Aiming at the problem of image privacy leakage and computing efficiency in edge environment, a lightweightand secure region proposal network (SecRPN) was proposed.

zh-cn	基于加性秘密共享方案设计一系列安全计算协议，由 2 台非共谋边缘服务器协作执行安全特征处理、安全锚变换、安全边界框修正、安全非极大值抑制等计算模块。
en-us	A series of secure computing protocols were designed based on the additive secret sharing scheme. Two non-collusive edge servers cooperate to perform calculation modules such as secure feature processing, secure anchor transformation, secure bounding-box correction, and secure non-maximum suppres-sion.

zh-cn	理论分析证明了 SecRPN 的正确性和安全性，实际性能评估表明，计算和通信开销均远优于现有工作。
en-us	Theoretical analysis guarantees the correctness and security of SecRPN. The actual performance evaluation shows thatSecRPN is outstanding in the computational cost and communication overhead compared with the existing works.

zh-cn	为缓解物联网节点数量增长带来的能耗问题，提出了基于能效最大化的多载波无线供电反向散射网络资源分配算法。
en-us	In order to alleviate the energy consumption problem caused by the increasing number of Internet of things(IoT) nodes, an energy-efficient (EE) maximization based resource allocation algorithm was proposed for multi-carrierwireless-powered backscatter communication network.

zh-cn	首先，考虑发射功率门限和最小收集能量约束，构建了发射功率、传输时间、反射系数和收集能量分配系数联合优化的多变量非线性资源分配模型。
en-us	Firstly, a multivariable and nonlinear resource allocation modelwas formulated to jointly optimize transmit power, transmission time, reflection coefficient, and energy-harvesting allo-cation coefficient, where the maximum transmit power constraint of the power station and the minimum harvested energy constraint at the backscatter device were considered.

zh-cn	然后，基于 Dinkelbach 方法和变量替换法，将原非凸资源分配问题转化为凸优化问题。
en-us	Then, the original non-convex optimization problem was trans-formed into a convex one which was solved by using Dinkelbach's method and the variable substitution approach.

zh-cn	同时，利用拉格朗日对偶理论获得解析解。
en-us	Fur-thermore, the analytical solution of the resource allocation problem was obtained based on Lagrange dual theory.

zh-cn	仿真结果表明，与纯反向散射算法和纯能量收集算法相比，所提算法具有较好的能效。
en-us	Simula-tion results verify that the proposed algorithm has better EE by comparing it with the existing algorithm under purebackscatter mode and algorithm under the harvested-then-transmit mode.

zh-cn	针对动态社交网络中节点存在的时序关系，提出了基于时序关系的社交网络影响最大化问题，即在时序社交网络上寻找 k 个节点使信息传播最大化。
en-us	For the time sequential relationship between nodes in a dynamic social network, social network influencemaximization based on time sequential relationship was proved. The problem was to find k nodes on a time sequentialsocial network to maximize the spread of information.

zh-cn	首先，通过改进度估计算法来计算节点间的传播概率；
en-us	Firstly, the propagation probability between nodes was calculatedby the improved degree estimation algorithm.

zh-cn	其次，针对静态社交网络的 WCM 传播模型无法适用于时序社交网络的问题，提出了 IWCM 传播模型，并以此为基础提出了 TIM算法，
en-us	Secondly, in order to solve the problem that WCM models based on staticsocial networks could not be applied to time sequential social networks, an IWCM propagation model was proposed andbased on this, a two-stage time sequential social network influence maximization algorithm was proposed.

zh-cn	该算法分别利用时序启发阶段和时序贪心阶段，选择影响力估计值 inf(u)最大的备选节点和影响力最大的种子节点；
en-us	The algorithm used the time sequential heuristic phase and the time sequential greedy phase to select the candidate node with the largestinfluence estimated value inf (u) and the most influential seeds.

zh-cn	最后，通过实验验证了 TIM 算法的高效性和准确度。
en-us	At last, the efficiency and accuracy of the TIM algorithmwere proved by experiments.

zh-cn	此外，所提算法结合了启发式算法和贪心算法的优点，将边际收益的计算范围由网络中所有节点缩减到了备选节点，在保证精度的前提下大大缩短了程序的运行时间。
en-us	In addition, the algorithm combines the advantages of the heuristic algorithm and the greedyalgorithm, reducing the calculation range of the marginal revenue from all nodes in the network to the candidate nodes, and greatly shortens the running time of the program while ensuring accuracy.

zh-cn	针对核范数有偏近似秩函数导致基于核范数最小化的传统去噪方法去噪性能较差的问题，基于低秩理论，提出一种基于伽马范数最小化的图像去噪算法。
en-us	Focusing on the issue of rather poor denoising performance of the traditional kernel norm minimization basedmethod caused by the biased approximation of kernel norm to rank function, based on the low-rank theory, a gammanorm minimization based image denoising algorithm was developed.

zh-cn	首先对噪声图像重叠分块，然后基于结构相似性指数自适应搜索与当前图像块最相似的若干非局部图像块以组成相似图像块矩阵，
en-us	The noisy image was firstly divided into some overlapping patches via the proposed algorithm, and then several non-local image patches most similar to the current im-age patch were sought adaptively based on the structural similarity index to form the similar image patch matrix.

zh-cn	进而利用非凸伽马范数无偏近似矩阵秩函数构建低秩去噪模型，
en-us	Subse-quently, the non-convex gamma norm could be exploited to obtain unbiased approximation of the matrix rank functionsuch that the low-rank denoising model could be constructed.

zh-cn	最后基于奇异值分解对所得低秩去噪优化问题求解，并将去噪图像块重组为去噪图像。
en-us	Finally, the obtained low-rank denoising optimization issuecould be tackled on the basis of singular value decomposition, and therefore the denoised image patches could bere-constructed as a denoised image.

zh-cn	仿真结果表明，与现有主流 PID、NLM、BM3D、NNM、WNNM、DnCNN 和 FFDNet 算法相比，所提算法可较显著地消除高斯噪声，且可较好地恢复原始图像细节。
en-us	Simulation results demonstrate that, compared to the existing state-of-the-art PID,NLM, BM3D, NNM, WNNM, DnCNN and FFDNet algorithms, the developed method can eliminate Gaussian noisemore considerably and retrieve the original image details rather precisely.

zh-cn	针对动态广域光骨干网中光信道传输质量预测方法精确度不足的问题，以集成学习理论为基础提出一种光信道传输质量预测方法。
en-us	Due to the fact that in dynamic wide-area optical backbone network the accuracies of the existing predictionmethods were insufficient, a novel prediction method on quality of transmission (QoT) of optical channel was proposedbased on ensemble learning theory.

zh-cn	首先，在堆栈集成学习框架下构建了由 5 个多层感知器模型组成的基学习器，通过并行组合的方式实现了样本数据的同态集成学习。
en-us	Firstly, under the framework of stacked ensemble learning, a base-learner including fivemultilayer perceptron (MLP) model was built, which could achieve homomorphic ensemble learning of sample data throughparallel combination.

zh-cn	然后，融合基学习器的预测结果形成新的训练集，用于训练由单一多层感知器组成的元学习器。
en-us	Subsequently, the new training set fused from the predicted results of the preceding base-learner wasused to training the meta-learner composed of a single MLP.

zh-cn	仿真结果表明，对比深度神经网络，所提方法在单信道和多信道 QoT 预测场景下具有更优秀的非线性逼近性能，预测精度分别提高了 1.93%和 3.82%。
en-us	The simulation results show that compared with the used deepneural network, the proposed method can obtain a more excellent nonlinear approximation in the scenarios of the sin-gle-channel and multi-channels, and the prediction accuracies have the improvements of 1.93% and 3.82% respectively.

zh-cn	针对应急物联网（EIoT）超低时延服务需求，设计了面向超低时延传输应急物联网的多切片网络架构，提出 EIoT 切片资源预留和多异构切片资源共享与隔离的方法框架。
en-us	Based on the requirements of ultra-low latency services for emergency Internet-of-things (EIoT) applica-tions, a multi-slice network architecture for ultra-low latency emergency IoT was designed, and a general methodologyframework based on resource reservation, sharing and isolation for multiple slices was proposed.

zh-cn	所提框架采用深度强化学习方法实现实时异构切片间资源需求的自动预测与分配，切片内用户资源分配建模为基于形状的二维背包问题并采用启发式算法数值求解，从而实现切片内资源定制化。
en-us	In the proposedframework, real-time and automatic inter-slice resource demand prediction and allocation were realized based on deepreinforcement learning (DRL), while intra-slice user resource allocation was modeled as a shape-based 2-dimensionpacking problem and solved with a heuristic numerical algorithm, so that intra-slice resource customization was achieved.

zh-cn	仿真结果表明，基于资源预留的方法能够使 EIoT 切片显式保留资源，提供了更好的安全隔离级别；
en-us	Simulation results show that the resource reservation-based method enable EIoT slices to explicitly reserveresources, provide a better security isolation level, and DRL could guarantee accuracy and real-time updates of re-source reservations.

zh-cn	深度强化学习能够保证资源预留的准确和实时更新，有效兼顾资源利用率和切片差异化服务质量要求。与 4 个已有算法对比表明，Dueling DQN 具有更好的性能优势。
en-us	Compared with four existing algorithms, dueling deep Q-network (DQN) performes better thanthe benchmarks.

zh-cn	为了提高传输的灵活性和应对应急通信的场景，提出了一种基于无人机辅助的非正交多址接入系统用户分组与功率分配联合优化算法。
en-us	To improve the transmission flexibility of emergency communication scenarios, a joint user grouping andpower allocation algorithm was proposed for UAV-aided non-orthogonal multiple access (NOMA) system.

zh-cn	考虑基站最大发射功率约束与用户分组约束，构建了 NOMA 多用户和速率最大化的资源分配问题。
en-us	A sum-ratemaximization resource allocation algorithm was formulated under the constraints of the maximum transmit power and theuser grouping.

zh-cn	为了解决该非凸问题，基于图论提出了最大割定理下的用户分组算法，实现了组内用户与无人机的相对距离最小。
en-us	To solve the non-convex problem, a graph-based user grouping algorithm was proposed to minimize therelative distance between the UAV and users.

zh-cn	基于分组结果，利用辅助变量法，将原非凸功率分配子问题转化为凸优化问题求解。
en-us	Based on the grouping result, the power allocation sub-problem was trans-formed into a convex one by using the auxiliary-variable approach.

zh-cn	仿真结果表明，所提算法具有较好的和速率性能。
en-us	Simulation results demonstrate that the proposed al-gorithm has better performance in terms of sum rates.

zh-cn	跨域访问控制虽然能提升互操作性，但也可降低域内自治性，因此如何平衡域间互操作性和域内自治性是一个重要的问题。
en-us	Cross-domain access control can improves interoperability but reduces intra-domain autonomy.

zh-cn	针对该问题，提出一种基于多目标整数规划优化的跨域访问控制策略映射机制。
en-us	To balance in-ter-domain interoperability and intra-domain autonomy, a cross-domain access control policy mapping to the problem ofmulti-objective integer optimization programming was formulated.

zh-cn	在该机制中，将最大化域间互操作性和最小化域内自治性作为目标函数，将 7 类典型的跨域冲突作为约束函数，设计了一种带约束的 NSGA-III 优化算法。
en-us	Both the maximization of inter-domain interoperabil-ity and the minimization of intra-domain autonomy were taken as the objectives. Further, seven constraints were designedto prevent typical cross-domain conflicts. To solve the optimization problem, a constrained NSGA-III algorithm wasproposed.

zh-cn	实验结果表明，在模拟现实机构特征的大中规模数据集上，该算法拥有较快收敛速度，且解集具有较高的准确性。
en-us	The experimental results show that the proposed algorithm can quickly converge and accurately find the policy mapping even in the large-scale datasets.

zh-cn	为解决分子通信中由分子扩散带来的码间干扰（ISI）和背景噪声这 2 个严峻的挑战，采用 4 种能抵抗 ISI的信号特征表示接收信号的瞬态特性，提出了可靠的不依赖于信道冲激响应（CIR）的非相干分子信号检测算法，并设计了自适应阈值计算方法，且给出了误比特率（BER）理论值。
en-us	To solve the inter-symbol interference (ISI) and background noise challenges of molecular communication viadiffusion (MCvD), four ISI-resistant signal-features were deployed, and a reliable non-coherent signal detection algo-rithm, which was insensitive to different types of molecular channel impulse response (CIR), was proposed. Also, anadaptive decision threshold and theoretical bound of bit error rate (BER) were deduced.

zh-cn	仿真结果显示，在同等计算复杂度下所提方案 BER 比传统方案 BER 低，因此在计算能力受限的纳米级分子通信系统中具有广泛的应用前景。
en-us	Simulation results demonstrate alower BER of the proposed non-coherent scheme compared to the state-of-the-art schemes in the same order of computa-tional complexity, therefore suggesting its potential applications for future nano-scale MC.

zh-cn	为了应对流量分类攻击，从防御者的角度出发，提出了一种基于对抗样本的网络欺骗流量生成方法。
en-us	In order to prevent attacker traffic classification attacks, a method for generating deception traffic based onadversarial samples from the perspective of the defender was proposed.

zh-cn	通过在正常的网络流量中增加扰动，形成欺骗流量的对抗样本，使攻击者在实施以深度学习模型为基础的流量分类攻击时出现分类错误，欺骗攻击者从而导致攻击失败，并造成攻击者时间和精力的消耗。
en-us	By adding perturbation to the normal networktraffic, an adversarial sample of deception traffic was formed, so that an attacker could make a misclassification whenimplementing a traffic analysis attack based on a deep learning model, achieving deception effect by causing the attackerto consume time and energy.

zh-cn	采用几种不同的扰动生成方法形成网络流量对抗样本，选择 LeNet-5 深度卷积神经网络作为攻击者使用的流量分类模型实施欺骗，通过实验验证了所提方法的有效性，为流量混淆和欺骗提供了新的方法。
en-us	Several different methods for crafting perturbation were used to generate adversarial sam-ples of deception traffic, and the LeNet-5 deep convolutional neural network was selected as a traffic classification modelfor attackers to deceive. The effectiveness of the proposed method is verified by experiments, which provides a new method for network traffic obfuscation and deception.

zh-cn	为了在混合型传输网络中为用户提供更加灵活而便利的服务，提出了一种采用单个光调制器同时提供有线和单边带无线服务的系统。
en-us	In order to provide more flexible and convenient service for users in the hybrid transmission network, anovel system using a single optical modulator to provide wired and single side band (SSB) wireless signal was pro-posed.

zh-cn	通过结合双极化二进制相移键控调制器、相位调节器等器件的应用，直接产生有线和单边带无线信号，抑制色散引起的走离效应，并成功实现10 Gbit/s有线信号和承载于40 GHz毫米波上的5 Gbit/s单边带无线信号在 65 km 单模光纤中的有效传输。
en-us	By combining the application of dual-polarization binary phase shift keying modulator (DP-BPSK), phaseshifter and other devices, wired and SSB wireless signals were directly generated to suppress the walk-off effectcaused by dispersion, and the effective transmission of 5 Gbit/s SSB wireless signal carried on 40 GHz millimeterwave and 10 Gbit/s wired signal over 65 km single-mode fiber (SMF) were successfully achieved.

zh-cn	实验结果表明，偏振复用技术和光副载波复用等技术的应用使信号在传输速率和性能上有了更大的提升，并将在未来宽带通信网中发挥重要作用。
en-us	The experiments show that the application of polarization multiplexing technology and optical subcarrier multiplexing technology canmake the signal have a greater improvement in transmission rate and performance, and play an important role in thefuture broadband communication network.

zh-cn	针对现有的逆向频谱拍卖没有考虑与频谱有关的非价格属性的问题和频谱拍卖安全问题，提出了一个面向隐私保护的多属性逆向频谱拍卖方案。
en-us	Aiming the problem that the existing reverse spectrum auctions do not take the non-price attribute of spectrum into account and the security of spectrum auction, a privacy-preserving multi-attribute reverse spectrum auction was pro-posed.

zh-cn	首先，将含有频谱价格、与频谱有关的非价格正向属性值作为频谱竞标人的竞标方案并执行拍卖判断频谱赢家。
en-us	Firstly, price and non-price positive attributes of spectrum were considered as the bidding scheme of bidders andauctions was performed to judge spectrum winners.

zh-cn	其次，为确保频谱拍卖的安全性，方案利用 Paillier 门限机制引入一组拍卖人的分治集中式频谱拍卖服务器代替传统单一的第三方代理机构，防止频谱拍卖人与频谱竞标人的“合作欺诈”。
en-us	Secondly, to ensure the security of the spectrum auction, the Paillier threshold system was used to introduce a group of spectrum auction servers of auctioneers to replace the traditional singlethird-party agency, which could prevent the fraud collusion between spectr u m auctioneers and bidders.

zh-cn	所提方案还引入匿名化技术、不经意传输技术的密码学工具，确保频谱拍卖的安全特性，使频谱拍卖安全地执行。
en-us	The cryptography tools such as the anonymization technology and oblivious transfer were introduced to achieve the secure features, which could make the spectrum auction performed securely.

zh-cn	对所提方案的安全协议进行安全分析表明，协议具有较强的安全性。
en-us	The security analysis shows that the security protocol has strong security.

zh-cn	对协议进行性能评估，实验结果表明，所提方案在计算开销上优于可应用在频谱拍卖场景下的多属性逆向拍卖安全方案。
en-us	The performance of the protocol is also evaluated, and experimental results show that the security scheme is su-perior to the multi-attribute reverse auction security scheme that can be applied in the spectrum auction scenario in termsof computational overhead.

zh-cn	为在双单播网络中运用网络编码技术进行数据传输，提出了一种双单播网络编码的构造方法。
en-us	In order to use network coding technology for data transmission in double unicast network, a constructionmethod of double unicast network coding was proposed.

zh-cn	所提方法在源点实施预编码策略，采用随机线性网络编码方法并结合多目标优化进化算法来设计各信道的局部编码向量；
en-us	The pre-coding strategy was implemented at each source node,the random linear network coding combined to the multi-objective optimization evolutionary algorithm was adopted todesign the local coding vector of each channel.

zh-cn	在宿点运用矩阵零空间的基向量来消除部分信息干扰，再运用二级预编码策略来控制源点的发送速率，从而能够解码。
en-us	At the each sink node, the base vector of zero space of matrix was used to eliminate some information interference, and then the two-level pre-coding strategy was used to control the transmissionrate at source. Thus, each sink node could be decoded successfully.

zh-cn	所提方法不仅能确定双单播网络编码的近似可达信息率区域，还能为可达信息率区域中的每一向量构造可行的传输方案。
en-us	With the proposed method, the approximate reachable information rate region of double unicast network coding could be determined and the transmission scheme for each vec-tor in the reachable information rate region could be designed.

zh-cn	理论推导与仿真计算表明了所提方法的有效性。
en-us	Theoretical derivation and simulation calculation show the effectiveness of the proposed method.

zh-cn	针对 sybil 攻击对区块链技术有极大危害的问题，在联盟链中对 PBFT 算法进行改进，以防御 sybil 攻击。
en-us	Aiming at the problem that sybil attack has great harm to block chain technology, a method to improve thePBFT algorithm in the alliance chain to defend against sybil attacks was proposed.

zh-cn	首先，借鉴基于权益证明的共识算法思想，通过建立信誉模型，根据各节点共识过程中的行为计算节点的信誉值，并依据信誉值的大小赋予节点不同的话语权；
en-us	Firstly, using the idea of consensusalgorithm based on proof of rights and interests, a reputation model was established, the reputation value of each node accorded to the behavior of each node in the consensus process was calculated, and different discourse rights accorded to the size of the reputation value was given.

zh-cn	然后，在 PBFT 算法中加入了 pre-commit 阶段来减少节点间通信的次数。
en-us	Then pre-commit phase was added to the PBFT algorithm to reduce the num-ber of communication between nodes.

zh-cn	形式化分析推理和安全性测试表明，改进的 PBFT 算法不仅可以有效防御区块链中的 sybil 攻击，而且使区块链系统性能在 TPS 和区块生成时延方面有明显提高。
en-us	The solution through formal analysis and reasoning and security testing shows that the improved PBFT algorithm can not only effectively defend against sybil attacks in the blockchain, but also make the performance of the blockchain system in terms of TPS and block generation delay.

zh-cn	针对可搜索加密方案中的结果验证方法复杂，搜索成本高且效率低，难以满足多关键词搜索结果高效验证和安全性需求的问题，提出了基于改进的 Merkle-Tree 认证方法的多关键词搜索方案。
en-us	Aiming at the problem that the result verification method in the searchable encryption scheme was complicated,the search cost was high and the efficiency was low, it was difficult to meet the requirements of efficient verification andsecurity of multi-keyword search results, a multi-keyword search scheme based on the improved Merkle-Tree authentica-tion method was proposed.

zh-cn	首先，利用双线性映射构造多关键词的可搜索算法，实现高效精准的多关键词搜索；
en-us	Firstly, a multi-keyword searchable algorithm was built to achieve efficient and accurate mul-ti-keyword search by the bilinear mapping.

zh-cn	其次，基于 Bawa 改进的 Merkle-Tree 认证方法构造搜索方案的验证及动态更新算法，将计算成本从经典的 MHT 的 ) (n O 降低到 ) (logn O ，防止数据篡改、删除和伪造等不法操作的高效验证。
en-us	Secondly, based on the improved Merkle-Tree authentication method of Bawa,the verification and dynamic update algorithm of the search scheme was constructed to reduce the calculation cost of theclassic MHT to prevent the efficient verification and update of illegal operations such as data tampering, deletion, andforgery.

zh-cn	在决策线性假设和 CDH 假设下，所提方案满足密文不可区分性和签名不可伪造性。
en-us	Under the decision-type linear hypothesis and CDH hypothesis, the proof scheme meets the indistinguishabilityand unforgeability of ciphertext.

zh-cn	针对无人机辅助蜂窝网络中的海量数据内容传输与无人机无线回程带宽受限这一矛盾，提出了一种无人机与用户协同缓存算法。
en-us	Aiming at the problem of mass data content transmission and limited wireless backhaul resource of UAV inUAV-assisted cellular network, a cooperative caching algorithm for cache-enabled UAV and user was proposed.

zh-cn	通过在无人机以及用户设备上部署存储设备，将用户请求的热点内容缓存后进行共享分发，以减少无人机回程链路资源与能量开销，减轻业务负载并降低用户时延。
en-us	By de-ploying caches on UAV and user device, the popular content requested by user was cached and delivered, which alleviat-ed the backhaul resource and energy consumption of UAV, reduced the traffic load and user delay.

zh-cn	以用户内容获取时延最小化为目标建立了无人机与用户缓存联合优化问题，将其分解为无人机缓存子问题与用户缓存子问题，并分别基于交替方向乘子法和全局贪婪算法进行求解，通过迭代获得收敛的优化结果，实现了无人机与用户的协同缓存。
en-us	A joint optimization problem of UAV and user caching was established with the goal of minimizing user content acquisition delay, and de-composed into UAV caching sub-problem and user caching sub-problem, which were solved based on alternating direc-tion method of multiplier and global greedy algorithm respectively. The iterative way was used to obtain convergent op-timization result, and the cooperative caching of UAV and user was realized.

zh-cn	仿真结果表明，所提算法能够有效降低用户的内容获取时延，提升系统性能。
en-us	Simulation results show that the proposedalgorithm can effectively reduce user content acquisition delay and improve system performance.

zh-cn	为了缓解频谱资源匮乏、提高认知无线网络的功率利用率，提出了一种基于能量收集的全双工认知中继网络功率分配算法。
en-us	To alleviate the shortage of spectrum resources and improve the power utilization of cognitive radio networks,a resource allocation algorithm of full duplex cognitive relay networks with energy harvesting was proposed.

zh-cn	所提算法在保证对主用户干扰以及中继端收集能量满足一定条件的情况下，优化能量受限的认知中继节点功率分配系数及次用户发射功率，实现了次用户系统吞吐量的最大化，提高了频谱效率。
en-us	In the algo-rithm, the coefficient for power splitting of the relay and the transmit power of the secondary users were jointly optimizedto maximize the throughput of the secondary users under the interference to primary users and energy harvesting con-straints.

zh-cn	由于所提算法的优化问题是非凸的，因此将其转化为针对功率分配系数和次用户发射功率的 2 个可解凸优化子问题，通过收敛迭代算法求得原问题的最终解。
en-us	Since the optimization of the algorithm was non-convex, it was transformed into two sub-optimizations, thesub-optimization of the coefficient for power splitting and the sub-optimization of the power transmitted of secondary us-ers, which were the solvable convex sub-optimizations.

zh-cn	仿真结果表明，采用所提算法的次用户系统吞吐量，与采用半双工功分算法的系统吞吐量相比提升了一倍，与采用全双工时分算法的系统吞吐量相比提升了 0.5 倍。
en-us	Then, the final solution of the original optimization was obtainedwith the iterative algorithm. Simulation results show that the throughput of the proposed algorithm, can obtain 2 timesthroughput of the networks with half-duplex power splitting algorithm and 1.5 times throughput of the networks withfull-duplex time switching algorithm.

zh-cn	考虑到用户与基站间的相关性和网络的不规则性，建立了基于 Matern 簇过程（MCP）的非正交多址接入型异构网（NOMA-HetNet）模型，并结合该模型分析了各类用户的覆盖概率。
en-us	Considering the correlation between the users and base stations and the network irregularity, thenon-orthogonal multiple access heterogeneous networks (NOMA-HetNet) based on Matern cluster process (MCP) wasmodeled. The coverage probability of UEs was analyzed.

zh-cn	在分析过程中，首先，从理论上推导出用户的信干噪比（SINR）；其次，针对现实中的非完美串行干扰消除（SIC）方案，给出了一种更符合实际情况的 SINR 上限更新规则；
en-us	Firstly, the signal-to-interference-plus-noise ratios (SINR) ofUEs were theoretically derived. Secondly, an updating law for the upper limit of SINR was presented for the imperfectserial interference elimination (SIC) scheme, which was more consistent with the reality.

zh-cn	然后，利用空间坐标系、概率论、随机几何理论和顺序统计量等数学工具分析了各类用户关联概率和服务距离；
en-us	Then, using the mathematicaltools such as spatial coordinate system, probability theory, stochastic geometry theory and order statistics, the correlationprobability and service distances of the different types of UEs were analyzed.

zh-cn	最后，推导了各类用户覆盖概率的理论表达式。
en-us	Finally, the theoretical expression of thecoverage probability of UEs was derived.

zh-cn	利用数值仿真分析了簇半径、基站密度和干扰残余因子对服务距离和覆盖概率的影响，取得了与理论分析相吻合的结果，验证了理论分析的正确性。
en-us	The effects of cluster radius, base station density, interference residual factorson service distances, and coverage probability are verified by numerical simulations. The simulation results are consistentwith the theoretical analysis, which testifies the correctness of the theoretical analysis.

zh-cn	针对目前网络风险评估模型中忽略攻击代价和入侵意图对网络安全产生影响的问题，为了准确评估目标网络风险，提出一种基于贝叶斯攻击图的网络入侵意图分析方法。
en-us	Aiming at the problem of ignoring the impact of attack cost and intrusion intention on network security in thecurrent network risk assessment model, in order to accurately assess the target network risk, a method of network intru-sion intention analysis based on Bayesian attack graph was proposed.

zh-cn	利用由漏洞价值、攻击成本和攻击收益计算出的原子攻击概率，结合贝叶斯信念网络量化攻击图，建立静态风险评估模型，并利用入侵意图动态更新模型，实现对网络风险的动态评估，为攻击面动态防御措施提供了依据。
en-us	Based on the atomic attack probability calculated by vulnerability value, attack cost and attack benefit, the static risk assessment model was established in combination with the quantitative attack graph of Bayesian belief network, and the dynamic update model of intrusion intention was used to realize the dynamic assessment of network risk, which provided the basis for the dynamic defense measures ofattack surface.

zh-cn	实验表明，所提模型不但可以有效地评估网络整体的安全性，而且在预测攻击路径方面也具有可行性。
en-us	Experiments show that the model is not only effective in evaluating the overall security of the network, but also feasible in predicting attack paths.

zh-cn	为解决复杂的频谱分配问题，引入具有较强并行计算能力的双目标鲸鱼优化算法（WOA），提出一种可以有效反映实际频谱需求的 Stackelberg 博弈，设计一种双目标 WOA 优化的分布式天线系统（DAS）频谱共享调度算法。
en-us	In order to solve the complex spectrum allocation problem, a dual-target whale optimization algorithm (WOA)with strong parallel computing capabilities was introduced, and a Stackelberg game model was proposed that could effec-tively reflect the actual spectrum requirements, and a dual-target WOA optimized distributed antenna system (DAS)spectrum sharing scheduling algorithm was designed.

zh-cn	仿真结果表明，从最优价格、用户收益等多个指标进行性能对比，所提算法具有较好的频谱共享分配效果，能实现公平有效的频谱分配，为未来通信网络频谱共享模式提供了重要参考。
en-us	Simulation results show that performance comparison is performed from multiple indicators such as optimal pricing and user benefits. The proposed algorithm has a good spectrum sharingallocation effect, can achieve fair and effective spectrum allocation, and provides an important reference for the future communication network spectrum sharing mode.

zh-cn	迭代信号限幅（ISC）和符号分解串行传输（SDST）技术将光正交频分复用（O-OFDM）符号分解为固定数量的多个小幅度符号，
en-us	Iterative signal clipping (ISC) and symbol decomposing with serial transmission (SDST) techniques decom-pose optical orthogonal frequency division multiplexing (O-OFDM) symbol into the fixed number of multiplesmall-amplitude symbols.

zh-cn	但当 O-OFDM 符号方差较小时，分解符号中有大量不载荷信息的全零符号，导致误码率变差、光功率损耗和信息速率降低。
en-us	However, at low O-OFDM symbol variances, the decomposition symbols contain a largeamount of all-zero symbols without load information, which results in bit error rate degradation, optical power penaltyand information rate reduction.

zh-cn	针对这一问题，提出了自适应 O-OFDM 符号分解串行传输（ASDST）系统，根据 O-OFDM 符号的幅度大小自适应决定符号分解，直到 O-OFDM 符号完全分解或达到最大符号分解次数，从而消除了全零符号，减少了平均符号分解次数。
en-us	Aim at this problem, an adaptive O-OFDM symbol decomposing with serial transmission(ASDST) system was proposed, the symbol decomposition was adaptively determined according to the O-OFDM symbolamplitude. Symbol decomposition was terminated until O-OFDM symbol was completely decomposed or the maximumsymbol decomposition times were attained, thereby eliminated all-zero symbols and reduced the average symbol decom-position times.

zh-cn	理论分析和蒙特卡罗仿真验证了 ASDST 系统的性能。
en-us	The performance of ASDST system was verified by theoretical analysis and Monte Carlo simulation.

zh-cn	对人工智能在移动通信领域学术界和产业界的研究与应用现状进行了总结，指出了人工智能在提升移动通信系统性能方面的挑战和瓶颈。
en-us	The research and application progress in mobile communication, and points out its obstacle for improving theperformance of mobile communication system were summarized.

zh-cn	创造性地提出性能外环与性能内环协同减小实际网络性能与理想网络性能间距离的新思路和新方法：对性能外环部分进行人工智能重构，对性能内环部分进行传统自适应或最优化，形成与性能外环部分的最佳协同。
en-us	A new approach for reducing the gap between the prac-tical and the ideal network performance was put forward creatively, which included the artificial intelligence reconstruc-tion for performance outer loop part, the traditional adaptation or optimization for performance inner loop part, and theoptimal cooperation between the two parts.

zh-cn	若干成功应用的实例证明了该思路和方法的有效性。
en-us	The effectiveness of this approach was proved by the several successful ap-plications.

zh-cn	最后指出，为了满足移动通信系统对人工智能解决方案“稳”“准”“快”的严苛需求，使能移动网络的自动化、智能化、智慧化，除了使人工智能重构的方案本身具有优异的性能外，还必须有基于大数据分析和模拟系统的反馈闭环系统架构，而架构中模拟器的构建——模拟系统是实现“稳”“准”“快”严苛需求的关键路径。
en-us	Finally, it pointed out that in order to meet the severe demands of mobile communication system for the “sta-ble” “accurate” and “fast” artificial intelligence solution, and make the mobile network automatic, intelligent and wise, inaddition to the excellent performance of the artificial intelligence reconstruction scheme itself, there must also be a feed-back closed-loop system architecture based on the big data analysis and analog system, which is the key path to achievethis target.

zh-cn	研究了分组马尔可夫叠加传输的神经网络（NN）译码方案。利用 NN，实现了不同网络结构、数据表征形式的基本码译码器。在此基础上，将所实现的基本码译码器嵌入迭代译码机制中，提出了基于 NN 的分组马尔可夫叠加传输的滑窗译码算法，
en-us	A neural network (NN)-based decoding algorithm of block Markov superposition transmission (BMST) was researched. The decoders of the basic code with different network structures and representations of training data were im-plemented using NN. Integrating the NN-based decoder of the basic code in an iterative manner, a sliding window de-coding algorithm was presented.

zh-cn	并分析了其对应的性能下界。所提出的译码算法提供了一种将 NN 运用到长码译码的解决思路，即用 NN 替代译码中的部分模块。
en-us	To analyze the bit error rate (BER) performance, the genie-aided (GA) lower boundswere presented. The NN-based decoding algorithm of the BMST provides a possible way to apply NN to decode longcodes. That means the part of the conventional decoder could be replaced by the NN.

zh-cn	仿真结果表明，利用 NN 实现的基本码译码器可以达到最大似然译码性能。基于 NN 的分组马尔可夫叠加传输的滑窗译码算法性能在中高信噪比区域与对应精灵辅助下界贴合，获得了额外的编码增益。
en-us	Numerical results show that theNN-based decoder of basic code can achieve the BER performance of the maximum likelihood (ML) decoder. For theBMST codes, BER performance of the NN-based decoding algorithm matches well with the GA lower bound and exhib-its an extra coding gain.

zh-cn	考虑一个基于 k 阶串行干扰消除的功率域非正交接入的单跳网络，研究在定义功率域非正交多路接入的可靠性模型的基础上，在传输时延有界的前提下，研究如何通过用户组配和功率分配来最大化上行传输的平均可靠性，进而为其提出了一个复杂度为 O(nlogn)的启发式算法，其中 n 是用户数。
en-us	A single-hop PD-NOMA network supporting k-successive interference cancellation (k-SIC) was considered.Given the real-time performance requirements, how to maximize the average reliability of uplink transmissions by the joint users grouping and power allocation was studied. A heuristic algorithm with complexity of O(nlogn) was presented,where n was the number of users.

zh-cn	此外，还证明了该算法在 k=2 的情况下是最优的。
en-us	The algorithm was also proved to be the optimal if k=2.

zh-cn	性能评估表明，随着时延的线性增加，传输可靠性将呈指数增长趋势；
en-us	The performance evaluationsreveal that the transmission reliability will increase exponentially with the linear degradation of the real-time performanceguarantee.

zh-cn	相对随机组配策略，所提算法会获得明显的可靠性增强。
en-us	Besides, the transmission reliability is enhanced with respect to the random users grouping algorithm.

zh-cn	考虑一个基于 k 阶串行干扰消除的功率域非正交接入的单跳网络，研究在定义功率域非正交多路接入的可靠性模型的基础上，在传输时延有界的前提下，研究如何通过用户组配和功率分配来最大化上行传输的平均可靠性，进而为其提出了一个复杂度为 O(nlogn)的启发式算法，其中 n 是用户数。
en-us	A single-hop PD-NOMA network supporting k-successive interference cancellation (k-SIC) was considered.Given the real-time performance requirements, how to maximize the average reliability of uplink transmissions by thejoint users grouping and power allocation was studied. A heuristic algorithm with complexity of O(nlogn) was presented,where n was the number of users.

zh-cn	此外，还证明了该算法在 k=2 的情况下是最优的。
en-us	The algorithm was also proved to be the optimal if k=2.

zh-cn	性能评估表明，随着时延的线性增加，传输可靠性将呈指数增长趋势；
en-us	The performance evaluationsreveal that the transmission reliability will increase exponentially with the linear degradation of the real-time performanceguarantee.

zh-cn	相对随机组配策略，所提算法会获得明显的可靠性增强。
en-us	Besides, the transmission reliability is enhanced with respect to the random users grouping algorithm.

zh-cn	针对软件定义网络（SDN）中不合理的控制器和交换机映射关系导致的控制平面性能低的问题，提出基于联盟博弈的自适应交换机迁移机制。
en-us	The problem of poor control plane performance causes in software-defined Networking due to the unreasona-ble mapping relationship between controllers and switches. To address this issue, an adaptive switch migration mecha-nism based on coalitional game was proposed.

zh-cn	首先，综合考虑控制器资源利用率、控制开销和流建立时间，将交换机迁移问题建模为组合优化问题；
en-us	First, comprehensively considering the controller resource utilization, con-trol overhead, and flow establishment time, the switch migration problem was modeled as a combination optimizationproblem.

zh-cn	然后引入博弈论设计分布式算法，每个控制器独立运行控制逻辑，通过控制器之间协调合作、联盟博弈，实现了依据流量特征的自适应交换机迁移。
en-us	Then, a game theory was introduced to design a distributed algorithm, where each controller ran control logicindependently and implemented coalitional game between controllers to achieve an adaptive switch migration mechanismthat adapted to traffic characteristics.

zh-cn	仿真结果表明，所提机制能更好地适应流量特征，减少约 19%的控制流量开销和 30%的平均流建立时间，提高了控制器资源利用率。
en-us	The simulation results show that the proposed mechanism can better adapt to theflow characteristics, reduce the control traffic overhead by about 19% and the average flow settling time by 30%, andimprove the controller resource utilization.

zh-cn	基于差分代数方法，利用猜测确定技术给出了 Nonce 重用两次情况下 ACORN v3 的状态恢复攻击，攻击所需的计算复杂度为 2 122.5 c，数据复杂度和存储复杂度可忽略不计，其中 c 是求解线性方程组的复杂度。
en-us	Based on differential-algebraic method and guess-and-determine technique, the state recovery attack ofACORN v3 was presented when one pair of key and Nonce was used to encrypt two messages. The time complexity of the attack was 2 122.5 c, where c was the time complexity of solving linear equations. The data complexity and the storagecomplexity were negligible.

zh-cn	针对 Nonce多次重用时的情形进行了分析，发现 ACORN v3 较复杂的滤波函数，使由密钥流直接提取关于内部状态线性方程的方法变得不可行，从而有效规避了通过增加 Nonce 重用次数来显著降低攻击复杂度的安全风险。
en-us	Furthermore, according to the analysis on the sense of multiple nonce reuse, it is found that relatively complicated filter function of ACORN v3 makes it infeasible to extract the linear equations about the internalstate directly from key streams. Thus, the risk of significantly reducing the attack complexity by increasing the times ofnonce reuse can be effectively avoided.

zh-cn	针对大规模离散工程优化问题，提出一种改进的离散量子粒子群优化算法（IDQPSO-SA）。
en-us	To address the large-scale discrete optimization problem, a cooperative optimization algorithm calledIDQPSO-SA was proposed.

zh-cn	首先，提出一种适应度的二次选择更新平均最优位置策略，使 QPSO 能够适用离散空间的优化问题。
en-us	First, a strategy by applying two selections on the averaging fitness values to update the meanbest position was presented, which could overcome the deficiency that QPSO was not applicable for discrete problems.

zh-cn	其次，引入二次切割与连接（DCJ）排序策略加速搜索进程。
en-us	Second, the double cut joining (DCJ) sorting strategy was incorporated into IDQPSO-SA, since the DCJ sorting strategycould considerably reduce the search space.

zh-cn	最后，在 QPSO 并行搜索基础上，引进模拟退火（SA）的概率突跳性，协同进行全局搜索。
en-us	Finally, the probability jumping ability of simulated annealing (SA) wascombined with the parallel search of QPSO, and the global search was carried out collaboratively.

zh-cn	在大规模、高维离散工程优化问题上进行了测试，并同已有算法进行比较，结果表明，IDQPSO-SA进一步提高了面向大规模离散优化问题时的搜索效率，并有效提升了算法的性能。
en-us	By comparing with ex-isting algorithms, the experimental results show that IDQPSO-SA further improves the search efficiency and has a com-parable performance when faced with large-scale discrete optimization problems.

zh-cn	针对网络攻击者需要依赖探测到的信息决定下一步动作这一特点，将非合作信号博弈理论应用于网络攻防分析。
en-us	In view of the characteristic that attacker depended on the detected information to decide the next actions,the non-cooperative signal game theory was applied to analyze cyber attack and defense.

zh-cn	通过构建多阶段网络欺骗博弈模型，对网络攻防过程中存在的信号欺骗机制进行深入研究，充分考虑网络欺骗信号衰减作用，实现多阶段网络攻防对抗的动态分析推演。
en-us	The signal deception mechanism in the process of cyber attack and defense was considered deeply by constructing a multi-stage cyberdeception game model, and the dynamic analysis and deduction of the multi-stage cyber attack and defense was realized by considering the attenuation of cyber deception signals.

zh-cn	基于攻防分析改进了多阶段网络欺骗博弈均衡求解方法，并设计出最优网络欺骗防御策略选取算法。
en-us	A solution for multi-stage cyber deception gameequilibrium was improved based on analysis of cyber attack and defense, and an optimal algorithm for selecting cyberdeception defense strategies was designed.

zh-cn	仿真实验验证了所提模型和方法的有效性，根据实验结果对多阶段网络欺骗博弈存在的规律进行了分析总结，能够为网络安全主动防御研究提供有效指导。
en-us	The effectiveness of the model is verified by simulations. The rules ofmulti-stage cyber deception games are summarized based on the results, which can provide effective guidance for theresearch on cyber active defense.

zh-cn	针对基于深度学习的 Wi-Fi 人体行为识别技术存在抗噪声能力弱、信号尺寸不兼容和特征提取不充分等问题，提出了一种基于连续图像深度学习的识别方法。
en-us	For the problems existing in most of the researches, such as weak anti-noise ability, incompatible signal sizeand insufficient feature extraction of deep-learning-based Wi-Fi human activity recognition, a kind of sequential image deep learning-based recognition method was proposed.

zh-cn	首先把时变 Wi-Fi 信号重构为若干个连续图像帧，确保输入尺寸一致；
en-us	Based on the idea of sequential image deep learning, a series ofimage frames were reconstructed from time-varied Wi-Fi signal to ensure the consistency of input size.

zh-cn	进而设计低秩分解算法，对噪声湮没的关键运动信息进行分离；
en-us	In addition, alow-rank decomposition method was innovatively designed to separate low-rank activity information merged in noises.

zh-cn	同时提出一种时间域和空间域信息融合的深度模型，自动捕捉变长图像序列的时空域特征，并在 WiAR 数据集和自主采集数据集上对所提方法进行验证。
en-us	Finally, a deep model combining temporal stream and spatial stream was proposed to automatically capture the spatio-temporal features from length-varied image sequences. The proposed method was extensively tested in WiAR dataset andself collected dataset.

zh-cn	实验结果表明，所提方法平均识别精度分别为 0.94 和 0.96，具备普适场景下的高精度和稳健性。
en-us	The experimental results show the proposed method could achieve the accuracy of 0.94 and 0.96,which indicate its high-accuracy performance and robustness in pervasive environments.

zh-cn	针对云存储数据安全问题，提出了面向浏览器云存储应用的自动化数据加密系统。
en-us	To order to address the problem of cloud storage data security, the generic proxy-based data protection systemwas proposed, which could automatically and transparently secure sensitive data in browser-based cloud storage applica-tions.

zh-cn	该系统采用 JavaScript动态程序分析技术，可自动化识别与适配各类云应用，确保了对各类云应用敏感数据的加密保护，并集成了基于安全网关执行的密文搜索功能，在实现数据加密保护的同时还可最大限度地保持云应用原有功能。
en-us	A novel dynamic program analysis technique was adopted based on JavaScript API function hooking for automati-cally extending to various cloud applications. And a novel proxy executed searchable encryption solution was presented so that it could achieve data encryption while maintaining the original functions of cloud applications.

zh-cn	实验结果表明，该系统可自动化适配加密各类云应用，支持密文搜索功能，且花费较小的性能代价。
en-us	Experimental re-sults show that the system can support a variety of typical cloud services, effectively protect sensitive data, and bring arelatively low overhead.

zh-cn	针对多径异步码分多址（CDMA）信号多用户伪码盲估计问题，利用发送符号的有限元（FA）特性，提出了一种基于最大似然的判决辅助（DA）算法，构建了信息码、伪码及信道的双层迭代估计结构，实现了异步CDMA 信号的高性能多伪码盲估计，
en-us	Aiming at the problem of blind estimation of multi-user pseudo-code of multi-path asynchronous code divisionmultiple access (CDMA) signal, using the finite element (FA) characteristic of transmitted symbol, a decision aid (DA)method based on maximum likelihood was proposed. A two-step iterative estimation structure for PN code, transmittedbit and channel was designed to realize the estimation of multiple user code in asynchronous CDMA system with superior performance.

zh-cn	并推导了异步体制 CDMA 信号伪码盲估计问题的 Crammer-Rao 界（CRB），从而评估了所提算法的性能。
en-us	Moreover, the Cramer-Rao bound (CRB) of PN code estimation in asynchronous CDMA signal was derivedto evaluate the performance of proposed method.

zh-cn	仿真实验表明，相比现有常用的迭代最小二乘投影（ILSP）算法，所提算法估计精度性能实现较大提升，接近理论界，在用户数量较多时也能实现较优估计。
en-us	Simulation indicates significant improvement in performance which is close to the theory bound of the proposed method compared to commonly-used iterative least square with projection(ILSP) method. The method can also achieve superior estimation when the user number increases.

zh-cn	在存在窃听者且合法用户配备功率分裂器用于能量转化的条件下，对毫米波大规模多输入多输出（MIMO）非正交多址接入（NOMA）系统的安全能效（SEE）问题进行了研究。
en-us	The secure energy efficiency (SEE) problem was investigated for the millimeter wave (mmWave) multiple in-put multiple output (MIMO) non-orthogonal multiplex access (NOMA) systems with simultaneous wireless informationand power transfer (SWIPT) in the presence of multiple legitimate receiver (LR) and an eavesdropper.

zh-cn	首先根据信道状态信息对合法用户进行分组并选出各组的簇头，然后利用 NOMA 技术和混合数字模拟预编码技术设计多个波束分别服务于各簇。
en-us	LR was first grouped according to the channel state information and the cluster heads of each group were selected, then the LR of eachcluster was served by each beam with NOMA and hybrid precoding technology.

zh-cn	在此基础上，研究优化发送功率及功率分配系数的安全能效最大化问题。
en-us	Based on this, a SEE maximizationproblem was formulated by optimizing power allocation and power splitting factors.

zh-cn	应用 Dinkelbach 技术和一阶泰勒展开式将原非凸问题转化为凸优化问题，进而提出一种迭代优化算法获得最初问题的解。
en-us	The Dinkelbach algorithm and firstorder Taylor approximation were proposed to transform the original non-convex problem into a convex one, and an itera-tive algorithm was developed to solve it.

zh-cn	仿真结果表明，所提方案有效提高了系统的安全能效。
en-us	Finally, numerical results show that the proposed scheme can effectively im-prove the SEE.

zh-cn	为了准确评估无人机系统的自主通信和组网能力以提升其智能化协同水平，面向复杂环境和对抗任务的中高端无人机系统，立足于实际需求，
en-us	In order to accurately evaluate the autonomous communication and networking capability of these unmannedsystem which was instructive to the intelligent collaboration of UAV (unmanned aerial vehicle) system, the research of the UAV system which was adapted to the complex environment with countermeasure possibilities was focused on.

zh-cn	从自适应能力、自主决策能力、指令理解能力、计算和信息物理融合能力以及学习能力等多个角度分析无人机系统的自主通信和组网能力及其相互关系，建立无人机系统自主通信和组网能力构成模型，通过构造函数对各个影响要素实现合成计算，并通过一个范例来说明具体的评估过程。
en-us	The autonomous communication and networking capability of UAV system and their relationship from multiple perspectiveswas analyzed and modeled, including self-adaptation, self-decision, man-UAV interaction, cyber-physical integration andevolution, and an example was provided to illustrate the detailed evaluation process.

zh-cn	范例评估结果表明，所提方法比较全面地考虑了各方面的影响因素，可以对不同无人机系统的自主通信和组网能力进行定量的客观评价。
en-us	The example results show that the proposed method comprehensively consider all the key aspects of the performance evaluation, which can be used toquantitatively evaluate the autonomous communication and networking capability of different UAVs or other unmannedsystems.

zh-cn	针对由 2 个稀疏均匀矩形阵列（URA）构成的互质面阵（CPPA），提出了一种基于张量代数的阵列信号处理方法，以提高阵列自由度。
en-us	For the co-prime planar array (CPPA) consisting of two sparse uniform rectangular array (URA), a new pro-cessing method based on tensor algebra was proposed to enhance the degrees of freedom (DoF).

zh-cn	首先，对 CPPA 中的 2 个 URA 进行拆分，将这 2 个 URA 的接收信号表示成 2 个张量；
en-us	By dividing each URAinto some overlapping subarrays, the received signals of two URAs were expressed as two tensors.

zh-cn	然后将其互相关结果处理成一个虚拟阵列的接收信号张量。
en-us	And then thecross-correlation between such two tensors was processed into a received signal tensor of the virtual array.

zh-cn	分析表明，所提方法可将一个具有22 1 L  个物理阵元的 CPPA 转换成一个具有4( 1)16L 个阵元的虚拟稀疏非均匀面阵。
en-us	Analysis show that by the new method, the CPPA with22 1 L  physical elements can be transformed into a virtual sparse non-uniformplanar array with4( 1)16L elements.

zh-cn	针对该虚拟面阵，给出了利用张量分解从其接收信号张量中估计入射信号二维波达角的方法，以避免二维谱峰搜索。
en-us	For the virtual array, the tensor decomposition-based approach for estimating thetwo-dimensional (2-D) direction of arrival (DoA) of the incident signal is also proposed, which means 2-D spectral peaksearching is avoided.

zh-cn	与文献报道的互质面阵信号处理方法相比，所提方法将阵列自由度从2L 提升至4( 1)116L  ，并具有更好的信号波达角估计性能及较低的计算复杂度，仿真结果证明了所提方法的有效性。
en-us	Compared with the co-prime planar signal processing methods reported in the literature, the pro-posed method can increase the DoF from2L to4( 1)116L  , and has the better performance of the 2-D DoA estimationand lower computational complexity. Simulation results demonstrate the efficiency of the proposed method.

zh-cn	针对异构无线网络故障检测与诊断过程中，如何基于小数据量样本进行准确的故障检测与诊断模型的训练的问题，提出了基于生成对抗网络的异构无线网络故障检测与诊断算法。
en-us	Aiming at the problem that in the process of network fault detection and diagnosis, how to train the precisefault diagnosis and detection model based on small data volume, a fault diagnosis and detection algorithm based on gen-erative adversarial networks (GAN) for heterogeneous wireless networks was proposed.

zh-cn	首先，分析了异构无线网络环境下的常见网络故障来源，通过 GAN 算法，在小数据量的网络故障样本的基础上，得到大量可靠数据集。
en-us	Firstly, the common networkfault sources in heterogeneous wireless network environment was analyzed, and a large number of reliable data sets wasobtained based on a small amount of network fault samples through GAN algorithm.

zh-cn	然后，基于这些数据，利用极端梯度提升算法选择故障检测阶段输入参数的最优特征组合，并完成故障检测与诊断。
en-us	Then, the extreme gradient boosting(XGBoost) algorithm was used to select the optimal feature combination of input parameters in the fault detection stageand completed fault diagnosis and detection based on these data.

zh-cn	仿真结果表明，所提算法可以实现对异构无线网络更加准确而高效的故障检测与诊断，准确率可达 98.18%。
en-us	Simulation results show that the algorithm can achieve more accurate and efficient fault detection and diagnosis for heterogeneous wireless networks, with an accuracy of 98.18%.

zh-cn	针对卫星高速移动导致的卫星网络内部及与地面网络间的连接关系不断变化的问题，提出了一种基于位置的天地一体化网络路由寻址机制——LA-ISTN。
en-us	The ever-changing characteristics of the connection between the satellite network and the terrestrial network caused by the high-speed movement of the satellites have always been one of the most important problem that plagues therouting mechanism of the satellite network and integrated network. To address this problem, a location addressing basedrouting mechanism of integrated satellite and terrestrial network (LA-ISTN) was proposed.

zh-cn	用户的 IP 地址携带其地理位置信息，在星间路由时，基于位置信息计算得到的路由方位选择最优的转发接口。
en-us	LA-ISTN exploited the user'sphysical location in the user's IP address to calculate the routing orientation. Based on the orientation, LA-ISTN couldchoose the best forward interface.

zh-cn	仿真结果表明，相对于快照协议和 OSPF 路由协议，LA-ISTN 显著降低了星上路由表存储开销，没有路由更新包交换开销和邻居通信开销；
en-us	Theoretical analysis and simulation experiments show that compared with snapshotprotocol and OSPF routing protocol, LA-ISTN significantly reduces the route table storage overhead, with no routingupdates cost caused by neighbor packet switching and communication.

zh-cn	星上路由不依赖预测的链路连接关系，稳健性强，可保证网络时刻可用。
en-us	Inter-satellite route selection is not dependent onthe prediction of link connection relations, with strong robustness, can always guarantee the network's availability.

zh-cn	针对现有离群点检测算法存在参数选取困难、效率差和精度低等问题，提出了基于双向邻居修正的局部异常因子算法。
en-us	A local outlier factor algorithm based on bidirectional neighbor correction was proposed to solve the problemsof existing outlier detection algorithms such as difficulty in parameter selection, poor efficiency and low accuracy.

zh-cn	为了解决所提问题，首先提出了基于双向邻居的搜索算法，降低邻居搜索占用时间，然后使用双向邻居的修剪算法减少参数输入以及不必要的异常值计算。
en-us	The bidirectional neighbor searching algorithm was used to reduce the neighbor search time. Then the bidirectional neighborpruning algorithm was used to reduce the number of parameters and unnecessary calculations.

zh-cn	同时提出了基于双向邻居的修正因子，并利用反向邻居进一步提高计算精度。
en-us	And the correction factor based on bidirectional neighbors was used to improve the calculation accuracy.

zh-cn	实验结果表明，所提算法减少了参数选取，提高了时间效率，同时基于双向邻居的修正因子使算法在合成数据集和 UCI 数据集上的准确率更高。
en-us	Experimental results show that the pro-posed algorithm has better performance in parameter selection and time efficiency than other outlier detection methods.The correction factor improves the accuracy of the algorithm, in the synthetic data set and UCI data set.

zh-cn	为提高无线携能通信（SWIPT）系统的频谱效率和性能，引入非正交多址接入（NOMA）技术构建SWIPT-NOMA 机会中继系统模型。
en-us	In order to improve the spectrum efficiency and performance of the simultaneous wireless information andpower transfer (SWIPT) system, the non-orthogonal multiple access (NOMA) technology was introduced to construct theSWIPT-NOMA opportunistic relay system model.

zh-cn	针对固定信号功率分配会导致其与系统其他参数无法相互调节，继而影响系统中断概率和资源利用率等问题，提出了一种联合信号功率和时间分配方案，以提高系统中断性能。
en-us	The fixed signal power allocation couldn't adjust with other parame-ters of the system, and then affect the outage probability and resource utilization of the system. Therefore, a joint signal power and time allocation scheme was proposed to improve the system outage performance.

zh-cn	所提方案在满足信道状态较差节点速率的条件下，推导出信号功率分配的表达式，并得出系统中断概率的数学表达式，最后通过选取合适的时间分配参数来提升中断性能。
en-us	In the proposed scheme, theexpression of signal power distribution was obtained under the condition of satisfying the quality of service (QoS) rate of the node with poor channel state, and then the relation between the interruption probability and the time distribution of the system was deduced, the time allocation parameter was adjusted to affect the outage probability.

zh-cn	仿真结果表明，所提系统模型具有比正交多址接入（OMA）系统更好的中断性能，所提优化方案可有效降低系统的中断概率，提高系统性能。
en-us	The simulation re-sults show that the constructed NOMA system has better outage performance than orthogonal multiple access (OMA)system, and the proposed joint signal power and time allocation outage scheme can effectively reduce the interruptionprobability of the system and improve the system performance.

zh-cn	针对传统多维度文本聚类算法把文本表示与聚类过程分离，忽略了维度间的互补特性的问题，提出了一种差异互补的迭代式多维度文本聚类算法——CMDC，实现文本聚类与特征调整过程的统一优化。
en-us	In response to the problems traditional multi-view document clustering methods separate the multi-view doc-ument representation from the clustering process and ignore the complementary characteristics of multi-view document clustering, an iterative algorithm for complementary multi-view document clustering——CMDC was proposed, in which the multi-view document clustering process and the multi-view feature adjustment were conducted in a mutually unified manner.

zh-cn	CMDC 算法挑选维度聚类间结果的互补文本，基于局部度量学习算法利用互补文本促进聚类的特征调优，以维度的度量一致性来解决多维度文本聚类的划分一致性。
en-us	In CMDC algorithm, complementary text documents were selected from the clustering results to aid adjustingthe contribution of view features via learning a local measurement metric of each document view. The complementary text document of the results among the dimensionality clusters was selected by CMDC, and used to promote the featuretuning of the clusters. The partition consistency of the multi-dimensional document clustering was solved by the measure consistency of the dimensions.

zh-cn	实验结果表明，CMDC 算法有效地提升了多维度聚类性能。
en-us	Experimental results show that CMDC effectively improves multi-dimensional clusteringperformance.

zh-cn	针对边缘算力受限，难以部署复杂结构的人脸检测深度神经网络的问题，为减少资源消耗，并保证人脸在多尺度变化、遮挡、模糊、光照等复杂场景下的检测精度，提出了多尺度感知的轻量化人脸检测算法。
en-us	Aiming at the problem that face detectors with complex deep neural structures are difficult to deploy in the re-source-constrained edge computing environment, to reduce the resource consumption while maintain the accuracy incomplex scenes such as multi-scale face changes, occlusion, blur, and illumination, SDPN(multi-scale aware dual pathnetwork) for face detection was proposed.

zh-cn	采用改进的人脸残差神经网络作为特征提取网络，并提出双分支浅层特征提取模块，并行分支理解图像多尺度信息，进而由深浅特征融合模块将底层图像信息与高层语义特征融合，配合多尺度感知的训练策略监督多分支学习差异化特征。
en-us	The Face-ResNet (face residual neural network) was improved, and a dual pathshallow feature extractor was used to understand the multi-scale information of the image through parallel branches. Thenthe deep and shallow feature fusion module, a combination of the underlying image information and the high-level se-mantic feature, was used in conjunction with the multi-scale awareness training strategy to supervise the multi-branchlearning discriminating features.

zh-cn	实验结果表明，所提算法可有效提取多样化的特征，在保持模型高效性和低推理时延的同时，有效提升了算法的精度和稳健性。
en-us	The experimental results show that SDPN can extract more diversified features, whicheffectively improve the accuracy and robustness of face detection while maintaining the efficiency of the model and lowinference delay.

zh-cn	针对现有范围查询方案进行多维数据查询时缺乏隐私保护的问题，提出了一种带有隐私保护特性的面向雾增强型工业物联网多维安全查询方案。
en-us	In view of the fact that most of the existing range query schemes for fog-enhanced IoT cannot achieve bothmulti-dimensional query and privacy protection, a privacy-preserving multi-dimensional secure query scheme forfog-enhanced IIoT was proposed.

zh-cn	该方案首先将用户待查询的多个维度区间映射成一个查询矩阵；
en-us	Firstly, the multiple ranges to be queried were mapped into a certain query matrix.

zh-cn	然后，构造辅助向量对查询矩阵进行分解，利用 BGN 同态加密对辅助向量进行处理形成查询陷门；
en-us	Then,auxiliary vectors were constructed to decompose the query matrix, and then the auxiliary vector was processed by BGNhomomorphic encryption to form a query trapdoor.

zh-cn	最后，物联网设备终端利用同态特性将传感数据与查询陷门进行匹配。
en-us	Finally, with the homomorphic computation utilized by an IoT deviceterminal, the query trapdoor could be matched to its sensor data.

zh-cn	特殊辅助向量有效降低了方案空间复杂度，同态加密的自盲性保证了传感数据机密性和用户查询模式的隐私。
en-us	Spatial complexity could be effectively reduced with theused specific auxiliary vectors. The confidentiality of sensor data could be ensured and the privacy of user's query modecould be protected by the homomorphic encryption property.

zh-cn	仿真实验结果表明，所提方案的计算开销和通信开销较低。
en-us	Experiments results show that the computational and com-munication costs are relatively low.

zh-cn	目前超可靠低时延通信（URLLC）研究较碎片化，且侧重于某一点，
en-us	The current fragmented ultra reliable and low latency communication (URLLC) research focusing on a certainpoint was overcome.

zh-cn	因此以全景式视角，从应用场景和需求开始，介绍了 URLLC 相关的系统架构、关键技术和总体解决方案；
en-us	From the perspective of panoramic view, starting from the application scenarios and requirements,the system architecture, key technologies and solutions of URLLC were analyzed and introduced.

zh-cn	然后分别对物理层检测性能需求、链路自适应、无线资源管理、端到端分集解决方案以及如何与时间敏感网络集成进行了深入的分析，并对候选方案进行了探讨。
en-us	Then, the physical lay-er detection performance requirements, link adaptation, radio resource management, end-to-end diversity solutions andhow to integrate with TSN (time sensitive network) were analyzed in depth, and possible candidates were discussed.

zh-cn	希望从广度到深度，对 URLLC 的理论研究以及如何应用有一个透彻全面的介绍，对其挑战有一个清晰的认识，从而为相关研究和工程技术人员提供借鉴。
en-us	It hopes to have a thorough and comprehensive understanding of the theoretical research and application of URLLC, and aclear understanding of its challenges, so as to play a key reference for researchers and engineers in the related fields.

zh-cn	针对云存储电子病历（EMR）中病历数据难以在不同医院间共享的问题，提出了一种区块链上基于可搜索加密的 EMR 数据共享方案。
en-us	Considering that it was difficult to share medical record data among different medical institutions in cloud storage, an electronic medical record data sharing scheme based on searchable encryption on blockchain was proposed.

zh-cn	该方案使用服务器存储 EMR 密文，私有链存储密文哈希值，联盟链存储关键字索引，以实现 EMR 的安全存储与共享。
en-us	In order to realize the secure storage and sharing of electronic medical records in the scheme, the patient's electronic medi-cal record ciphertext was stored in the hospital server, the ciphertext hash value was stored in the private blockchain, andthe keyword index was stored in the consortium blockchain.

zh-cn	利用可搜索加密技术实现在联盟链上对关键字的安全搜索，利用代理重加密技术实现其他数据用户对患者 EMR 的数据共享。
en-us	Searchable encryption was used to implement secure searchof keywords in the consortium blockchain, and proxy re-encryption technology was used to realize the sharing of elec-tronic medical records of patients by other data users.

zh-cn	安全性分析表明，所提方案满足密文安全和关键字安全。
en-us	Security analysis shows that the proposed scheme can achieve ci-phertext security and keyword security.

zh-cn	此外，通过功能分析、计算效率分析和数值模拟对所提方案进行了性能分析。
en-us	Moreover, the performance of the scheme was analyzed by function analysis, computational efficiency analysis and numerical simulation.

zh-cn	性能分析表明，该方案具有较高的计算效率。
en-us	The performance analysis shows that the scheme can achievehigh computational efficiency.

zh-cn	基于完备序列和正交序列集，研究了零相关区序列集的构造方法。
en-us	The construction of zero correlation zone (ZCZ) sequence set was researched based on perfect sequences andorthogonal sequence set.

zh-cn	借助有限域上构造方法的思想，实现了最佳零相关区序列集的构造，且通过改变集合 O 和集合 R ，生成多个移位不等价零相关区序列集，扩展了序列集的数量。
en-us	With the method of constructing on finite field, the optimal zero correlation zone sequence setswere constructed, by changing the set O and R , multiple shift distinct ZCZ sequence sets could be obtained and thenumber of sets could be expended.

zh-cn	所提构造方法在满足ZpN 或nZpN 的条件下，其中 p 为素数，零相关区长度可以灵活选择，以满足不同系统对信道时延的要求。
en-us	Through the constructions, the length of ZCZ can be chosen flexibly to meet the re-quirements of different systems for channel delay under the condition ofZpN ornZpN , where p is a prime.

zh-cn	近年来，人工智能技术已被应用于无线通信领域，以解决传统无线通信技术面对信息爆炸和万物互联等新发展趋势所遇到的瓶颈问题。
en-us	In recent years, artificial intelligence (AI) has been applied to wireless communications, in order to address thechallenges introduced by data explosion and Internet of everything.

zh-cn	首先介绍深度学习、深度强化学习和联邦学习三类具有代表性的人工智能技术；
en-us	Firstly, three core technologies of AI were introduced,including deep learning, deep reinforcement learning, and federated learning.

zh-cn	然后通过对这三类技术在无线通信中的无线传输、频谱管理、资源配置、网络接入、网络及系统优化 5 个方面的应用进行综述，
en-us	Then, an overview of their applications onwireless communications was provided, from the aspects of wireless transmission, spectrum management, resource allo-cation, network access, network and system optimization.

zh-cn	分析和总结它们在解决无线通信问题时的原理、适用性、设计方法和优缺点；
en-us	Based on the overview, the principle, applicability, design me-thodology, pros and cons on applying AI technologies to solve wireless communication problems were analyzed andsummarized.

zh-cn	最后围绕存在的局限性指出智能无线通信技术的未来发展趋势和研究方向，期望为无线通信领域的后续研究提供帮助和参考。
en-us	Regarding the existed limitations, the future development trends and research directions on intelligent wire-less communication technologies were pointed out, to hopefully provide useful help and reference for the future researchin this field.

zh-cn	针对城市环境成为移动通信、交通调度、疾病防控等领域的典型场景，而用户的移动行为建模对这些关键领域有重要的应用与研究价值，梳理、总结城市环境下移动行为建模的研究进展与现状，为该领域的相关研究提供文献概述。
en-us	Urban environment has become a typical scenario for areas of mobile communication, transportation schedul-ing, disease controlling and so on, and modelling user's mobility behavior plays an important role in these key applica-tions. The research development in this area was combed and summarized, which provided a literature review for relatedworks.

zh-cn	首先讨论了城市环境移动行为建模问题面临的主要挑战及对应的核心科学问题，即移动行为数据增强算法、城市结构感知的移动行为模式识别、多时空尺度的移动行为预测模型和移动数据隐私保护机制问题。
en-us	Firstly, the main challenges in urban mobility modelling were discussed as well as the corresponding key scientif-ic problems, which included mobility data augmentation, urban structure-aware mobility behavior discovering, mul-ti-scale mobility behavior prediction and mobility data privacy protection.

zh-cn	进一步地，围绕这些核心科学问题梳理总结了该领域近年来的发展脉络与最新研究成果，为未来的研究工作奠定了基础。
en-us	Furthermore, according to these key scientificproblems, the recent developments and up-to-date scientific output in this area were summarized, which paved the wayfor future research.

zh-cn	针对无线随机接入网络中通信信道状态信息（C-CSI）和干扰信道状态信息（I-CSI）均不确定的情况，提出了一种深度稳健资源分配架构。
en-us	A deep and robust resource allocation framework was proposed for the random access based wireless networks,where both the communication channel state information (C-CSI) and the interference channel state information (I-CSI)were uncertain.

zh-cn	该资源分配架构将无线网络的资源优化目标看作一个学习问题，利用深度神经网络（DNN）以无监督的方式学习最优资源分配策略。
en-us	The proposed resource allocation framework considered the optimization objective of wireless networksas a learning problem and employs deep neural network (DNN) to approximate optimal resource allocation policythrough unsupervised manner.

zh-cn	通过将不确定的 CSI 建模为椭圆形状的不确定性集合，提出了一个由 2 个 DNN 级联构成的网络结构，第一个是不确定的 CSI 处理单元，第二个是功率控制单元。
en-us	By modeling the uncertainties of CSI as ellipsoid sets, two concatenated DNN units wereproposed, where the first was uncertain CSI processing unit and the second was the power control unit.

zh-cn	然后，提出了一种交替迭代训练算法用于联合训练 2 个级联的 DNN 单元。
en-us	Then, an alternat-ing iterative training algorithm was developed to jointly train the two concatenated DNN units.

zh-cn	最后，仿真比较了稳健学习策略和非稳健学习策略下的网络性能，验证了所提算法的有效性。
en-us	Finally, the simulationsverify the effectiveness of the proposed robust leaning approach over the nonrobust one.

zh-cn	针对干扰网络中的文件下载业务，提出了一种基于多智能体深度强化学习的分布式干扰协调策略。
en-us	A distributed interference coordination strategy based on multi-agent deep reinforcement learning was investi-gated to meet the requirements of file downloading traffic in interference networks.

zh-cn	所提策略能够在节点之间只需交互少量信息的条件下，根据干扰环境和业务需求的特点自适应调整传输策略。
en-us	By the proposed strategy transmis-sion scheme could be adjusted adaptively based on the interference environment and traffic requirements with limitedamount of information exchanged among nodes.

zh-cn	仿真结果表明，对于任意的用户数和业务需求，所提策略相对于未来信息预测理想时最优策略的用户满意度损失不超过 11%。
en-us	Simulation results show that the user satisfaction loss of the proposedstrategy from the optimal strategy with perfect future information does not exceed 11% for arbitrary number of users andtraffic requirements.

zh-cn	为了在噪声不确定时实现瑞利衰落环境下的隐蔽无线通信，采用基于复高斯随机编码和波束成形的下行隐蔽无线通信方案，重点分析了隐蔽无线通信性能。
en-us	In order to establish covert wireless communication in Rayleigh fading environment with noise uncertainty, ascheme of downlink covert wireless communication based on complex Gaussian random coding and beam forming wasadopted, and more importantly, the performance of covert wireless communication was analysed.

zh-cn	首先，利用假设检验理论分析基于该方案通信的隐蔽概率；
en-us	Firstly, the covertprobability of communication was analyzed by using the hypothesis test theory.

zh-cn	然后，给出并证明非法检测方的最优检测门限，并进一步得到系统的平均隐蔽概率、连接中断概率和隐蔽吞吐量闭式表达式；
en-us	Secondly, the optimal detection thresholdof the illegal detection party was given and proved, and the closed expressions of the average covert probability, connec-tion interruption probability and covert throughput of the system were further obtained.

zh-cn	最后，通过联合设计发射功率和目标隐蔽速率，实现系统最大隐蔽吞吐量的优化目标，并给出了基于分步搜索的相应求解算法。
en-us	Finally, by jointly designing the transmission power and target covert rate, the optimal goal of the maximum covert throughput of the system was achieved, and the corresponding algorithm based on step search was given.

zh-cn	仿真结果表明，波束成形技术能够为隐蔽无线通信带来一定增益；
en-us	The simulation results show that the beamforming technology could provide some gain for covert wireless communication.

zh-cn	与考虑合法接收方不受噪声不确定影响的理想情形相比，考虑合法接收方非理想情形时的隐蔽吞吐量有明显下降，几乎不受环境基本噪声水平的影响。
en-us	Compared with the ideal case in whichthe legitimate receiver is not affected by the noise uncertainty, the covert throughput in non-ideal case is significantly re-duced and almost not affected by the basic noise level of the environment.

zh-cn	跳波束技术为卫星资源的灵活分配和高效利用提供了实现基础，被认为是新一代高通量卫星的关键技术。
en-us	Beam-hopping technology provides a basis for flexible allocation and efficient utilization of satellite resources,and it is considered as a key technology of the new generation of high-throughput satellite.

zh-cn	以业务驱动、资源高效利用、随需覆盖为目标，从系统架构、通信体制、工作机理、资源分配和波束跳变图案设计、用户接入策略、空口协议设计和系统工作流程等维度，自顶向下为基于跳波束的高通量卫星通信系统设计提供可行性方案、奠定技术基础，
en-us	With the goal of ser-vice-driven, efficient utilization of resources and on-demand coverage of hot spots area, from the aspects of system ar-chitecture, communication system, working mechanism, resource allocation method and beam-hopping pattern design,user access strategy, air interface protocol design and system workflow, a top-down feasibility and technical foundationwas provided for the design of a new generation of high-throughput satellite communication system based on beam hop-ping.

zh-cn	可以满足天地一体化信息网络灵活机动的信息服务，以及高可靠、大容量传输的天基骨干网需求。
en-us	Finally, it meet the requirements of flexible and mobile information service for the space-earth integration network,as well as the demand of the space-based backbone network with high reliability and large capacity transmission.

zh-cn	为缓解道路的交通压力，减少道路拥堵现象的出现及避免交通事故的发生，结合安全、K 最近邻（KNN）算法，提出了一种基于智能交通的隐私保护道路拥堵状态的实时监测（PPIM）算法。
en-us	To alleviate the traffic pressure on roads, reduce the appearance of road congestion, and avoid the occurrenceof traffic accidents, a privacy-preserving intelligent monitoring (PPIM) scheme based on intelligent traffic was proposedin combination with the safe and k-nearest neighbor (KNN) algorithm.

zh-cn	为了确保交通数据的安全，采用安全多方计算策略将数据内容随机分成独立的部分，通过不共谋的多服务器对数据分量进行存储和加密。
en-us	To ensure the security of traffic data, the data con-tent was randomly divided into independent parts via the secure multi-party computing strategy, and the data componentswere stored and encrypted separately by non-colluding multi-servers.

zh-cn	为了提升道路状态监测的精度，提出了一种改进型的 KNN 交通监测算法，借助数据的相似度计算，获取衡量道路之间交通状态关系程度的相关值，并将其作为权重系数与传统的 KNN 算法进行整合。
en-us	To improve the accuracy of road condition moni-toring, an improved KNN traffic monitoring algorithm was proposed. By virtue of the similarity calculation of data, thecorrelation value to measure the degree of traffic condition relationship between roads was obtained. And it was inte-grated with the KNN as the weight coefficient.

zh-cn	为加快密态数据的处理速度，设计了一系列的数据安全计算协议，实现了数据的安全处理。
en-us	To speed up the processing of dense data, a series of data security compu-ting protocols were designed, and the data security processing was realized.

zh-cn	另外，利用真实的交通数据对该算法进行验证，实验结果表明改进型 KNN 算法有助于提高道路监测的准确度。
en-us	In addition, real traffic data were used to ve-rify the algorithm. The results show that the improved KNN algorithm is helpful to improve the accuracy of traffic moni-toring.

zh-cn	实验分析表明，所提算法在保证数据的安全同时可以提高交通监测的精度。
en-us	The analysis shows that the algorithm can not only guarantee the safety of data but improve the accuracy of traffic monitoring.

zh-cn	针对反向散射辅助的无线供能通信网络中由于信道质量差异导致的用户能效不公平问题，提出了一种基于最大最小准则的资源分配方法。
en-us	In order to address the unfair user-centric energy efficiency (EE) problem caused by channel difference in the backscatter-assisted wireless powered communication network, a resource allocation scheme was proposed.

zh-cn	首先，考虑用户服务质量与能量因果约束，并以最大最小化用户能效为目标，将优化问题建模为混合整数非凸分式规划问题。
en-us	Firstly, a mixed integer nonconvex fractional programming problem was formulated to maximize the minimum user-centric EE,subject to the quality of service and energy-causality constraints.

zh-cn	其次，利用广义分式规划理论将其转化为一个混合整数非凸减式优化问题，并通过引入松弛变量、反证法和辅助变量将非凸减式问题进一步转化为一个等价的凸问题。
en-us	Based on the generalized fractional programming theory,the original problem was transformed into a mixed integer nonconvex subtraction problem. With the aid of the slack var-iable, the proof by contradiction, the auxiliary variable and the mixed integer nonconvex subtraction problem were furthertransformed into an equivalent convex problem.

zh-cn	最后，提出一种迭代算法来获取原优化问题的最优解。
en-us	Finally, an iterative algorithm was proposed to obtain the optimal solu-tions.

zh-cn	实验仿真验证了所提迭代算法的快速收敛性，并证明了所提资源分配方法能够有效地保障用户能效公平性。
en-us	Computer simulations validated the quick convergence of the proposed iterative algorithm, and that the developedresource allocation scheme efficiently guarantees the fairness among users in terms of EE.

zh-cn	针对云计算密文检索方案的效率问题，提出了基于分块的移动边缘计算密文检索方案。
en-us	Aiming at the efficiency of cloud computing ciphertext retrieval scheme, a method of ciphertext retrieval inmobile edge computing based on block segmentations was proposed.

zh-cn	首先，引入了边缘服务器计算文档相似性得分，从而减少了云服务器的计算开销，提升了云服务器的处理效率；
en-us	Firstly, the edge server was introduced to calculatethe document similarity score, thereby the computational cost of cloud server was reduced and the processing efficiencyof cloud server was improved.

zh-cn	其次，在 MRSE方案基础上通过分块方法过滤掉大部分与查询无关的关键词，从而提高了计算文档相似性得分的效率。
en-us	Secondly, most keywords that are not related to the query were filtered out by a method ofblock segmentations based on the MRSE scheme, thereby the efficiency of calculating the document similarity score wasimproved.

zh-cn	理论分析和实验结果表明，所提方案在已知背景威胁模型下是安全的，与现有方案相比，所提方案在具有相同安全性的同时具有更高的检索效率。
en-us	Theoretical analysis and experimental results show that the solution is safe under the known background threatmodel. Compared with the existing scheme, the proposed scheme has the same security and higher retrieval efficiency.

zh-cn	为了从输入信号中自适应地对信号的广义主元进行估计，基于 Hebbian 线性神经元模型，提出了一种新型广义主元分析算法。
en-us	In order to adaptively estimate the generalized principal component from input signals, a novel generalizedprincipal component analysis algorithm was proposed based on the Hebbian linear neuron model.

zh-cn	该算法通过当前时刻的采样值来估计信号的自相关矩阵，有效地降低了算法的计算复杂度。
en-us	Since the autocorrela-tion matrices of the signals were estimated directly from the sampled data at the current time, the proposed algorithm hadlow computation complexity.

zh-cn	利用 Lyapunov 稳定性定理进行平衡点分析表明：当且仅当神经元权向量收敛到信号的广义主元时，算法到达稳定状态。
en-us	Trough analyzing all of the equilibrium points by Lyapunov method, it is proven that if andonly if the weight vector in the neuron had the same direction with the generalized principal component, the proposed al-gorithm attains the convergence status.

zh-cn	仿真实验表明：相比一些同类型算法，所提算法具有较快的收敛速度。
en-us	Simulation results shows that compared with some same type algorithms, the proposed algorithm has faster convergence speed.

zh-cn	针对视频被动取证领域中视频内容的真实性和完整性鉴定及篡改区域定位问题，提出了一种基于视频噪声流的深度学习检测算法。
en-us	To address the problem of identification of authenticity and integrity of video content and the location of videotampering area, a deep learning detection algorithm based on video noise flow was proposed.

zh-cn	首先，构建了基于空间富模型（SRM）和三维卷积（C3D）神经网络的特征提取器、帧鉴别器和基于区域建议网络（RPN）思想的空域定位器；
en-us	Firstly, based on SRM (spa-tial rich model) and C3D (3D convolution) neural network, a feature extractor, a frame discriminator and a RPN (regionproposal network) based spatial locator were constructed.

zh-cn	其次，将特征提取器分别与帧鉴别器和空域定位器相结合，搭建出 2 个神经网络；
en-us	Secondly, the feature extractor was combined with the framediscriminator and the spatial locator respectively, and then two neural networks were built.

zh-cn	最后，利用增强处理后的数据训练出 2 种深度学习模型，分别用于对视频篡改区域时域和空域的定位。
en-us	Finally, two kinds of deeplearning models were trained by the enhanced data, which were used to locate the tampered area in temporal domain andspatial domain respectively.

zh-cn	测试结果表明，时域定位的准确率提高到 98.5%，空域定位与篡改区域标注平均交并比达 49%，可以有效对该类篡改视频进行篡改区域时空域定位。
en-us	The test results show that the accuracy of temporal-domain location is increased to 98.5%,and the average intersection over union of spatial localization and tamper area labeling is 49%, which can effectively lo-cate the tamper area in temporal domain and spatial domain.

zh-cn	入侵检测系统经常不可避免地出现误警、漏警错误而导致系统的重大安全隐患，然而当前未能找到一种行之有效的解决方案。
en-us	Intrusion detection system (IDS) often inevitably presents major security risks caused by FPs and FNs. How-ever, at present, an effective solution has not been found.

zh-cn	针对该问题，提出一种基于信息论的入侵检测最佳响应模型。
en-us	In order to solve this problem, an optimal response model of in-trusion detection based on information theory was proposed.

zh-cn	首先，将入侵检测过程中的入侵者和入侵检测系统抽象成随机变量，并根据对抗结果构建了入侵者和入侵检测系统的攻防模型。
en-us	Firstly, the intruder and IDS in the process of intrusion de-tection were abstracted into random variables, and the attack and defense model of intruder and IDS was constructed ac-cording to the results of the confrontation.

zh-cn	其次，根据攻防模型设计入侵检测系统的防守信道，将入侵检测系统的正确检测转换成防守信道成功传输 1 bit 信息问题。
en-us	Secondly, the defense channel of IDS was designed according to the attack anddefense model, then the correct detection of IDS was transformed into the problem of successful transmission of 1 bit in-formation in defensive channel.

zh-cn	最后，通过分析防守信道的信道容量来衡量系统防守能力，其防守信道的最大互信息量就是入侵检测系统的防守极限能力，其对应的策略分布就是系统的防守能力最佳响应策略。
en-us	Finally, the defensive capability of the system was measured by analyzing the channelcapacity of the defensive channel, the maximum mutual information of the defensive channel was the defensive limit capa-bility of the IDS, and the corresponding strategy distribution was the optimal response strategy of the defensive capability of the system.

zh-cn	实验结果表明，所提方案能够有效地降低系统误警和漏警所造成损失。
en-us	The experimental results show that the scheme can effectively reduce the loss caused by FPs and FNs.

zh-cn	为了提高异构网络的能量效率和参数摄动抑制能力，减小跨层干扰，提出了一种基于能量效率最大的异构非正交多址接入网络稳健资源分配算法。
en-us	In order to improve the suppression capability of parametric perturbation and energy efficiency (EE) of hete-rogeneous networks (HetNets), a robust resource allocation algorithm was proposed to maximize system EE for reducingcross-tier interference power in non-orthogonal multiple access (NOMA) based HetNets.

zh-cn	首先，考虑宏用户干扰功率约束、小蜂窝基站功率约束、资源块分配约束及小蜂窝用户服务质量约束，将资源优化问题建模为混合整数非线性分式规划问题。
en-us	Firstly, the resource optimiza-tion problem was formulated as a mixed integer and nonlinear programming one under the constraints of the interferencepower of macrocell users, maximum transmit power of small cell base station (BS), resource block assignment and thequality of service (QoS) requirement of each small cell user.

zh-cn	其次，考虑椭球有界信道不确定模型，利用凸松弛法、Dinkelbach 法和连续凸近似法，将原问题转化为等价的凸优化形式，并利用拉格朗日对偶方法获得解析解。
en-us	Then, based on ellipsoid bounded channel uncertainty mod-els, the original problem was converted into the equivalent convex optimization problem by using the convex relaxationmethod, Dinkelbach method and the successive convex approximation (SCA) method. The analytical solutions were ob-tained by using the Lagrangian dual approach.

zh-cn	仿真结果表明，与完美 CSI 算法相比，所提算法具有较好的能效和稳健性。
en-us	Simulation results verifiy that the proposed algorithm had better EE androbustness by comparing it with the existing algorithm under perfect channel state information.

zh-cn	针对移动边缘计算环境下，爆炸式增长的物联网智能移动终端处理计算密集型和时延敏感型新兴移动应用时，面临的高时延、高能耗和低可靠性等问题，提出综合考虑时延和能耗的卸载决策模型和基于信誉值的计算资源博弈分配模型，
en-us	Aiming at the problem of high-latency, high-energy-consumption, and low-reliability mobile caused by com-puting-intensive and delay-sensitive emerging mobile applications in the explosive growth of IoT smart mobile terminalsin the mobile edge computing environment, an offload decision-making model where delay and energy consumption were comprehensively included, and a computing resource game allocation model based on reputation that took into accountwas proposed,

zh-cn	并分别利用改进粒子群算法和拉格朗日乘数法求解。
en-us	then improved particle swarm algorithm and the method of Lagrange multipliers were used respectively to solve models.

zh-cn	仿真结果表明，所提方法可满足新兴智能应用对于低时延、低能耗和高可靠性的服务需求，可有效实现计算卸载资源的整体优化配置。
en-us	Simulation results show that the proposed method can meet the service requirements of emerging intelli-gent applications for low latency, low energy consumption and high reliability, and effectively implement the overall op-timized allocation of computing offload resources.

zh-cn	为了改善 GPCR 协议中的局部最优、路由环路及在稀疏网络中性能不佳等问题，提出了一种基于权重选择的 GPCR（W-GPCR）协议。
en-us	To improve the performance in sparse networks, local optimum, and routing loop in the greedy perimetercoordinator routing (GPCR) protocol, the weighted-GPCR (W-GPCR) protocol was proposed.

zh-cn	深入分析节点间距离、运动方向及密度等参数对车辆节点路由的影响，针对现有路由问题，建立复合参数权重模型并设计计算方法，在不同的场景下自适应选择权重参数比，从而得到最优下一跳中继节点。
en-us	The relationship betweenvehicle node routing and other parameters such as the Euclidean distance between node pairs, moving direction and den-sity was profoundly analyzed, the composite parameter weighted model was established and the calculation method wasdesigned for the existing routing problems, the weighted parameter ratio was selected adaptively in different scenarios, soas to obtain the optimal next-hop relay node.

zh-cn	为了验证 W-GPCR 方法的性能，将其与传统的 GPCR 和 GPSR 等现有方法进行对比。结果表明，W-GPCR 方法在分组投递率、端到端时延和平均跳数方面均更优。
en-us	In order to verify the performance of the W-GPCR method, the proposedmethod was compared with the existing methods such as the traditional geographic perimeter stateless routing (GPSR)protocol, GPCR and so on, and the results show that the proposed method is superior to the package delivery ratio,end-to-end delay, and average hop count.

zh-cn	针对超密集网络中导频复用将产生同一导频的复用干扰，严重影响信道估计的准确性，提出了一种超密集网络导频复用干扰避免策略。
en-us	In the ultra dense network (UDN), the pilot reuse scheme would produce significant interference, which willaffect the accuracy of channel estimation. To solve this problem, an interference avoidance strategy for UDN with pilotreuse was proposed.

zh-cn	通过建立超密集网络子载波的干扰模型，推导子载波的干扰概率，并采用压缩感知理论建立超密集网络非均匀导频位置优化模型，据此提出了超密集网络导频复用干扰避免策略。
en-us	An interference model of subcarriers for UDN was provided and the interference probability of sub-carriers was derived. Then, based on the model, a pilot position selection model was proposed and an interference avoid-ance strategy for UDN with pilot reuse was provided.

zh-cn	仿真结果表明，与传统信道估计算法相比，所提策略增加了导频复用干扰避免策略的信道估计，能有效避免导频复用产生的干扰，保证信道估计的准确性。
en-us	The simulation results show that compared with the traditional channel estimation algorithm, the channel estimation with proposed interference avoidance strategy can effectively avoidthe interference and ensure the accuracy of channel estimation in UDN with pilot reuse.

zh-cn	针对当前电磁环境中调制方式复杂，用频设备增多，频谱拥塞且电磁环境干扰增加的情况，研究了以非合作通信为背景的 OFDM 信号检测与子载波识别算法。
en-us	Aiming at the problem that in the current electromagnetic environment, the modulation method is complicated,the frequency-consuming equipment increases, the spectrum is congested, and the electromagnetic environment interferenceincreases, the algorithm of OFDM signal detection and subcarrier identification in the background of non-cooperative com-munication were deeply studied.

zh-cn	利用 OFDM 信号与单载波信号在时域上的不同分布状态提出一种利用联合特征参数解决接收信号中 OFDM 的存在性问题；
en-us	Using the different distribution states of OFDM signals and single carrier signals in thetime domain, a joint characteristic parameter was proposed to solve the existence problem of OFDM in the received sig-nal.

zh-cn	针对信道传输给信号带来的相移和频偏问题，根据周期平稳性进行参数盲估计得到信号先验信息；
en-us	For the phase shift and frequency offset problems caused by the channel transmission to the signal, by using the pe-riodic stability the blind parameter estimation was performed to obtain the signal prior information.

zh-cn	在已获取信号先验信息的基础上，提出一种非合作 OFDM 信号子载波信号多层级分类识别的方法。
en-us	On the basis of theobtained signal prior information, a multi-level classification and recognition method for non-cooperative OFDM signalsub-carrier signals was proposed.

zh-cn	由此设计了基于非合作通信系统 OFDM 信号检测与子载波调制识别的模型，最后完成了未知信号的调制识别。
en-us	Therefore, a model based on non-cooperative communication system OFDM signal de-tection and subcarrier modulation identification was designed, and finally modulation identification of unknown signalswas completed.

zh-cn	仿真实验表明，在非合作通信系统中能准确识别 OFDM 信号与单载波信号，能对接收方 OFDM 信号子载波中的空子载波、QPSK 和 16QAM 达到理想的调制识别效果，克服了信道传输带来的相移和频偏问题，提高了调制方式识别的准确率。
en-us	Simulation experiments show that in non-cooperative communication systems, OFDM signals and sin-gle-carrier signals can be accurately identified, and ideal modulation recognition effects can be achieved on empty sub-carriers, QPSK, and 16QAM in the receiver OFDM signal subcarriers, overcoming the channel transmission band the problems of phase shift and frequency offset have improved the accuracy of modulation mode identification.

zh-cn	针对先进持久性威胁场景中模拟防御系统安全性能评估的不足，基于 FlipIt 博弈论模型，提出了一种改进的博弈模型。
en-us	To make up for the lack of security performance evaluation of the mimic defense systems in the advanced per-sistent threat scenarios an improved game model based on the FlipIt game theory model was proposed.

zh-cn	对不同的异构性条件下的拟态防御动态策略进行评估，并设计案例进行仿真分析。
en-us	The dynamicstrategy of mimic defense under different heterogeneity conditions was evaluated, and a case study for the simulationanalysis was conducted.

zh-cn	仿真结果表明，不定周期的轮换能够弥补异构性的不足，维持防御者较高的博弈收益。
en-us	The simulation results show that the rotation of indefinite period can make up for the lack of he-terogeneity and maintain the higher game payoff of defenders.

zh-cn	针对三维点云语义分割中缺乏结合点云的上下文细粒度信息导致的欠分割问题，提出一种基于上下文注意力卷积神经网络的三维点云语义分割算法。
en-us	Aiming at the under-segmentation of 3D point cloud semantic segmentation caused by the lack of contextualfine-grained information of the point cloud, an algorithm based on contextual attention CNN was proposed for 3D pointcloud semantic segmentation.

zh-cn	首先，通过注意力编码机制挖掘点云的局部区域内细粒度特征；
en-us	Firstly, the fine-grained features in local area of the point cloud were mined through the at-tention coding mechanism.

zh-cn	然后，通过上下文循环神经网络编码机制捕捉多尺度局部区域之间的上下文特征，且与细粒度局部特征相互补偿；
en-us	Secondly, the contextual features between multi-scale local areas were captured by the con-textual recurrent neural network coding mechanism and compensated with the fine-grained local features.

zh-cn	最后，采用多头部机制增强网络的泛化能力。
en-us	Finally, themulti-head mechanism was used to enhance the generalization ability of the network.

zh-cn	实验结果表明，所提算法在 ShapeNet Parts、S3DIS 和 vKITTI 标准数据集上的平均交并比分别为 85.4%、56.7%和 38.1%，分割性能良好，且具有较好的泛化能力。
en-us	Experiments show that the mIoU of the proposed algorithm on the three standard datasets of ShapeNet Parts, S3DIS and vKITTI are 85.4%, 56.7% and38.1% respectively, which has good segmentation performance and good generalization ability.

zh-cn	针对大型网络中效率计算时间复杂度高、计算耗时长的问题，提出一种基于分形特性的网络效率估计方法。
en-us	A method of network efficiency estimation based on fractal property was proposed for solving the problems ofhigh complexity and time-consuming calculation of efficiency in large scale networks.

zh-cn	利用复杂网络拓扑结构的分形特性，分析网络效率与节点关联和的关系，用部分节点关联和来估计网络全局效率。
en-us	Considering the fractal propertiesof complex network topology, the relationship between network efficiency and node correlation sum was analyzed, andthe global network efficiency was estimated by partial nodes.

zh-cn	此外，为了快速判断复杂网络的分形特性，提出基于节点关联和的分形特性判别方法。
en-us	Besides, to rapidly find the fractal properties of complexnetworks, a fractal property discrimination method based on node correlation sum was proposed.

zh-cn	在构造网络和真实网络中进行实验分析，结果表明，所提方法能准确有效地估算网络全局效率，比原始的网络效率计算方法可缩减不低于 90%的计算时间。
en-us	The experimental anal-ysis in the construction network and the real-world network show that the proposed method can accurately and effectivelyestimate the global efficiency of the network, which reduces the calculation time by at least 90% compared with the orig-inal method.

zh-cn	物联网认证技术是物联网安全领域的关键技术，它确保接入物联网的用户和设备节点身份信息的真实性。
en-us	Identity authentication technology is a key technology in the Internet of things (IoT)security field which en-sures the authenticity of the identity information of users and device nodes connected to the IoT.

zh-cn	由于物联网设备的低成本、低功耗、小存储和网络的异构性等特点，使传统计算机网络中的身份认证机制往往无法适用。
en-us	Due to the low cost, lowpower consumption, small storage of IoT devices and heterogeneity of IoT network, the identity authentication mechan-isms in traditional computer networks are often not applicable.

zh-cn	首先介绍了物联网发展历程，分析了物联网安全风险和认证工作面临的挑战，着重比较了 5 种典型的认证协议的优缺点，进而对 RFID、智能电网、车联网、智能家居等几种实践场景下的认证技术进行总结和对比分析。
en-us	Firstly, the development process of IoT was introduced,the security risks of IoT and the challenges faced by the authentication work were analyzed. Then the emphasis was puton comparison of the advantages and disadvantages among five typical authentication protocols. Moreover, the authenti-cation technologies in several practical scenarios of RFID, smart grid, Internet of vehicles, and smart home were summa-rized and analyzed.

zh-cn	最后，讨论了未来物联网认证技术的研究方向。
en-us	Finally, the future research direction was discussed.

zh-cn	针对蜂窝网络中的缓存问题，考虑用户内容请求的空间异构性及时间波动性，提出了一种基于单个用户内容偏好预测的蜂窝网中无人机位置部署及缓存内容部署方案。
en-us	In order to design an efficient edge caching policy considering spatial heterogeneity and temporal fluctuationsof users' content requests, a proactive caching scheme was proposed with UAV's deployment location design based onuser preference prediction.

zh-cn	首先基于用户的历史上下文信息，利用文件相似性及用户相似性来预测每个用户的内容偏好特性，并使用一种基于线性回归的方法来预测用户未来发起内容请求时的位置和时间；
en-us	Firstly, each user's preference characteristics were predicted based on file similarity and usersimilarity, and the request time and user location were also predicted when a content request occurs.

zh-cn	然后根据预测的地理位置、请求时间和内容偏好，分别利用基于自组织映射神经网络（SOM）的聚类算法和基于凝聚嵌套（AGNES）的分簇算法设计无人机的部署位置，并根据相应的无人机位置设计内容部署方案。
en-us	Thereafter, on thebasis of the predicted geographical location, request time and user preference, each UAV's deployment location and thecorresponding content placement were determined by virtue of clustering method based on SOM and AGNES.

zh-cn	仿真结果表明，所提算法在缓存命中率和时延性能上均优于对比算法。
en-us	Simulation results show that the proposed scheme outperforms other three comparison schemes in terms of hit ratio and transmissiondelay.

zh-cn	对真实数据集的分析结果表明，不同的用户特征对内容偏好影响权重不等，因此需要对不同的用户特征赋予合理的权值
en-us	Furthermore, the results also reveal that content preference is correlated with different user features by differentweights. Accordingly, different impact weights should be matched with different user features.

zh-cn	针对现有基于格的签密存在的效率与安全性问题，基于 ABB16 的签名方案 ring-TESLA，构造了一个在机密性和认证性方面分别达到自适应抗选择密文攻击不可区分安全性和抗选择消息攻击强不可伪造安全性的无陷门签密方案 RLWE-SC，其安全性可规约到环上带差错的学习问题。
en-us	In view of the existing efficiency and security problems of lattice based signcryption, with the ABB16's signa-ture scheme ring-TESLA, a signcryption scheme without trapdoor named RLWE-SC was constructed, which achievedindistinguish ability against adaptive chosen cipher text attack (IND-CCA2) security and strongly existential unforgeabil-ity against chosen message attack (SUF-CMA) security respectively in terms of confidentiality and authentication basedon the problem of learning with errors on ring.

zh-cn	环上的构造方式优化了方案的公私钥尺寸，无陷门的构造方式避免了方案使用复杂的陷门产生和原像抽样运算。
en-us	The size of the public and private keys was optimized by the constructionon the ring. The complex trapdoor generation and preimage sample calculation was avoided by the structure withouttrapdoor.

zh-cn	效率分析与实验表明，与现有的同等安全强度的格签密方案相比，RLWE-SC 具有较高的计算和通信效率。
en-us	Efficiency analysis and experiment shows that RLWE-SC has better computational and communication perfor-mance than other similar lattice-based signcryption schemes with the same security strength.

zh-cn	针对无人机通信网络中的干扰对抗问题，提出了一种基于分层博弈的自适应频谱接入优化机制。
en-us	For the anti-jamming spectrum access optimization problem in unmanned aerial vehicle (UAV) communica-tion networks,

zh-cn	考虑到无人机网络节点的动态特性，将干扰器视为分层博弈领导者，无人机用户视为分层博弈跟随者，不同层级间博弈参与者具有不同的效应函数，采用斯坦伯格均衡分析所构建的博弈并证明了均衡解的存在性和唯一性。
en-us	considering the complex and diverse malicious jamming from jammers, a Bayesian Stackelberg game was proposed to formulate the competitive relations between UAV users and jammers. Specifically, jammers acted as theleader, whereas users acted as followers of the proposed game. Based on their different utility functions, the jammer andusers independently and selfishly selected their optimal strategies and obtained the optimal channels selection.

zh-cn	在此基础上设计一种分层信道选择学习算法来求解博弈的均衡解，并分析其收敛性能。
en-us	Due to theNP-hard nature, it was challenging to obtain the Stackelberg Equilibrium of the proposed game. To this end, a hierarchic-al learning framework was formulated, and a hierarchical channel selection-learning algorithm was proposed.

zh-cn	仿真表明，所提算法能使网络节点智能地调整信道选择策略，从而获得良好的吞吐量性能。
en-us	Simulations demonstrate that with the proposed hierarchical learning algorithm, UAV nodes can adjust their channel selection and ob-tain superior performance.

zh-cn	对链路预测组合方法是否存在理论极限以及如何抵近极限开展研究。
en-us	The problem that whether there a theoretical limit exists for link prediction combination methods and how to approximate was investigated.

zh-cn	从是否使用多维度信息或是否直接定义多维度信息之间关系的角度，将链路预测方法分为单机制方法和组合方法。
en-us	Link prediction methods were divided into single or combination methods, based onwhether multidimension information was used, or whether the relation of multidimension information was defined di-rectly.

zh-cn	采用简单函数列逼近可测函数的方法，得出链路预测组合方法的理论极限定理；
en-us	Limit theorems for link prediction by approximating a measurable function by a simple function sequence wereprovided.

zh-cn	提出使组合方法准确性达到理论上限的组合规则，并给出所提组合规则的几何解释和针对极限定理的仿真示例说明。
en-us	Combination rule and corresponding geometric interpretations and simulation examples for limit theorems werealso provided.

zh-cn	极限定理揭示了组合方法的本质和组合方法相比单机制方法具有更高准确性及稳健性的原因。
en-us	Limit theorems show why combination methods have higher accuracy and robustness than single methods.

zh-cn	针对多波束卫星系统中资源分配序列决策的多目标优化（MOP）问题，为了在提升卫星系统性能的同时，提高用户业务需求的满意度，提出了一种基于深度增强学习（DRL）的 DRL-MOP 算法。
en-us	In view of the multi-objective optimization (MOP) problem of sequential decision-making for resource alloca-tions in multi-beam satellite systems, a deep reinforcement learning(DRL) based DRL-MOP algorithm was proposed to improve the system performance and user satisfaction degree.

zh-cn	所提算法基于 DRL 和MOP 技术，对动态变化的系统环境和用户到达模型建模，以归一化处理后的频谱效率、能量效率和业务满意度指数的加权和作为优化目标，实现了系统和用户累计性能的优化。
en-us	With considering the normalized weighted sum of spectrum efficiency, energy efficiency, and satisfaction index as the optimization goal, the dynamically changing system environ-ments and user arrival model were built by the proposed algorithm, and the optimization of the accumulative performancein satellite systems based on DRL and MOP was realized.

zh-cn	仿真对比表明，所提算法可以更好地解决面向多波束卫星系统的多目标优化问题，系统性能和用户满意度优化结果较好，且收敛快、复杂度低。
en-us	Simulation results show that the proposed algorithm can solvethe MOP problem with rapid convergence ability and low complexity, and it is obviously superior to other algorithms interms of system performance and user satisfaction optimization.

zh-cn	针对门限签名密钥泄露的安全问题，首先提出了一个加密门限签名功能，并对所提功能混淆，混淆电路的输出可交给任意第三方执行，不会泄露门限签名密钥的信息。
en-us	Aiming at the key leakage security problem of the threshold signature, an encrypted threshold signature func-tionality was firstly proposed and securely obfuscated. The output of obfuscated circuit could be implemented by anythird party without revealing the private key of threshold signature.

zh-cn	然后定义了加密门限签名功能和混淆器的安全模型，存在不可伪造性和平均情况虚拟黑盒性质，并对其正确性和安全性进行证明。
en-us	Secondly, the security models of encrypted thresholdsignature functionality and the obfuscator were defined, such as the existential unforgeablity and the average case virtualblack box property, and its correctness and security were proved.

zh-cn	理论和仿真实验分析表明，对加密门限签名的混淆具有可行性。
en-us	The analyses of theory and simulation experiment show that the obfuscation for encrypted threshold signature has feasibility.

zh-cn	为了解决基于资源传输的链路预测方法忽略节点间匹配度对资源传输过程影响的问题，提出了一种基于资源传输匹配度的复杂网络链路预测方法。
en-us	In order to solve the problem that many existing resource-transmission-based methods ignore the important in-fluence of the matching degree of two endpoints on resource transmission, a link prediction method was proposed basedon matching degree of resource transmission for complex networks.

zh-cn	首先，对资源传输路径上的 2 个端点进行详细分析，提出任意节点间匹配度的量化方法；
en-us	Firstly, by analyzing the two endpoints on the re-source transmission path in detail, the method of quantifying the matching degree between two nodes was proposed.

zh-cn	然后，为了刻画匹配度对于节点间资源传输过程的影响程度，定义了资源传输匹配度；
en-us	Then,in order to describe the influence of matching degree on resource transmission process between nodes, the matching de-gree of resource transmission was defined.

zh-cn	最后，基于资源传输匹配度，考虑节点间双向传输的资源量，提出资源传输匹配度指标。
en-us	Finally, based on the matching degree of resource transmission, a resourcetransmission matching index was proposed considering the resource amount of bidirectional transmission between nodes.

zh-cn	在 9 个实际网络数据集上的实验测试表明，相比其他基于相似性指标，所提方法在 AUC 和 Precision 衡量标准下能够取得更好的效果。
en-us	The experimental results of nine datasets show that compared with other similarity indices, the proposed index canachieve higher prediction accuracy under the AUC and Precision metrics.

zh-cn	针对传统物理访问控制系统的认证方法易受攻击的安全问题，基于拟态防御技术及其动态异构冗余架构（DHR）原理，以移动端二维码为接口、以动态口令为内核设计了一种拟态防御认证方法。
en-us	To address the security problem of the vulnerability of the authentication methods of traditional physicalaccess control systems, a mimic defense authentication method was designed based on the principle of mimic defensetechnique and its dynamic heterogeneous redundant architecture (DHR), using mobile 2D code as the interface and dy-namic password as the core.

zh-cn	首先，构建认证服务器的执行体池；
en-us	First, the actuator pool of the authentication server was constructed.

zh-cn	然后，利用由输入分发代理、选调器和表决器等功能模块组成的中心控制器，实现从执行体池中动态调度异构冗余执行体；
en-us	Then, a central control-ler consisting of functional modules such as input distribution agent, selector and voter was used to dynamically scheduleheterogeneous redundant actuators from the actuator pool.

zh-cn	最后，表决器对异构冗余执行体输出进行多模裁决决定认证结果。
en-us	Finally, a multimode ruling on the heterogeneous redundantactuator output to determine the authentication result was made by the voter.

zh-cn	实验结果表明，对比传统物理访问控制系统的认证方法，所提认证方法具有更高的安全性和可靠性。
en-us	The experimental results show that the pro-posed authentication method has higher security and reliability compared to the traditional physical access control systemauthentication method,

zh-cn	此外，所提认证方法能与其他认证方法组合使用。
en-us	and at the same time, it can be used in combination with other authentication methods.

zh-cn	针对互联网中存在的大量未知协议导致网络管理和维护网络安全十分困难的问题，提出了一种未知协议的分类识别方法。
en-us	Aiming at the problem that a large number of unknown protocols exist in the Internet, which makes it very dif-ficult to manage and maintain the network security, a classification and identification method of unknown protocols wasproposed.

zh-cn	结合自编码器技术和改进的 K-means 聚类技术针对网络流量实现了未知协议的分类识别。
en-us	Combined with the autoencoder technology and the improved K-means clustering technology, the unknownprotocol was classified and identified for the network traffic.

zh-cn	利用自编码器对网络流量进行降维和特征提取，使用聚类技术对降维后数据进行无监督的分类，最终实现对网络流量的无监督识别分类。
en-us	The autoencoder was used to reduce dimensionality and se-lect features of network traffic, clustering technology was used to classify the dimensionality reduction data unsupervised,and finally unsupervised recognition and classification of network traffic were realized.

zh-cn	实验结果表明，所提方法分类效果优于传统的 K-means、DBSCAN、GMM 算法，且具有更高的效率。
en-us	Experimental results show that the classification effect is better than the traditional K-means, DBSCAN, GMM algorithm, and has higher efficiency.

zh-cn	针对加密云数据阈值去重中的安全性和效率问题，提出一种基于阈值重加密的抗边信道攻击云数据安全去重方法。
en-us	For security and efficiency problems in threshold based deduplication for cloud data, a novel method based on threshold re-encryption was proposed to deal with side channel attacks.

zh-cn	设计了一种轻量级的阈值重加密机制，将用户端的密文分割转变为密钥分割，并且把二次加密转移到云端执行，从而大大减少了用户端的计算开销。
en-us	A lightweight threshold re-encryption mechanismwas presented to transfer the secondary encryption to the cloud for execution and allow clients to generate ciphertext basedon key segmentation instead of ciphertext segmentation, both of which largely reduce computational overhead of clients.

zh-cn	所提机制允许用户从一次加密密文和重加密密文中均可解密出明文，从而避免了对同一文件多次加密的开销。
en-us	Al-so, the proposed mechanism enables clients to decrypt from both one-time encrypted and re-encrypted ciphertext, thusavoiding the overhead of redundant encryption of the same file.

zh-cn	同时，所提方法支持云服务提供商和用户端双向的数据完整性验证，直接确保密文副本和用户端明文数据的对应性。
en-us	Mutual integrity verification between cloud service providerand clients was also supported by the proposed method, which directly ensured the correctness of the correspondence be-tween ciphertext and plaintext on client side.

zh-cn	实验结果表明，所提方法大大降低了用户端的计算开销，且同时取得了较好的云端存储性能
en-us	Experiments show that the proposed method not only largely reduces the com-putational overhead on client side, but also achieves superior storage performance on cloud side simultaneously.

zh-cn	为提高运营商数据中心流量调度能力，同时考虑网络结构和网络流量两方面因素，设计了一种软件定义网络（SDN）架构数据中心的流量分析预测在线调度机制。
en-us	To improve traffic scheduling capabilities in network provider data centers, both network structure and net-work traffic flow were considered at the same time. The analysis prediction and online scheduling mechanism was pro-posed in data center based on software defined networking (SDN).

zh-cn	针对数据中心流量调度的多维、多约束和多模态问题，提出基于斐波那契树优化（FTO）算法的流量调度策略，将 FTO 算法嵌入分析预测和在线调度 2 个阶段，发挥FTO 算法全局局部交替迭代寻优和多模特性，得到流量调度的最优解和多个有价值的次优解。
en-us	Aiming at the multi-dimensional, multi-constrainedand multi-modal problems of traffic flow scheduling in data centers, the traffic flow scheduling strategy based on Fibo-nacci tree optimization (FTO) algorithm was proposed. FTO algorithm was embedded into two stages of analysis predic-tion and online scheduling, took it advantage of global local alternating and multi-model optimization characteristics, theoptimal solution and suboptimal solutions of traffic scheduling had been got at one time.

zh-cn	模拟平台验证表明，FTO 流量调度策略能够对数据中心流量进行合理调度，有效提升运营商数据中心网络的负载均衡能力。
en-us	The emulator result shows that,the FTO traffic scheduling strategy can schedule traffic in data centers reasonably, which improves the load balancingcapability of network providers' data centers effectively.

zh-cn	为解决现有网络流量异常检测方法需要投喂大量数据且泛化能力较差的问题，提出了基于样本增强的网络恶意流量智能检测方法。
en-us	To address the problem that the existing methods of network traffic anomaly detection not only need a largenumber of training sets, but also have poor generalization ability, an intelligent detection method on network malicioustraffic based on sample enhancement was proposed.

zh-cn	所提方法从训练集中提取关键词，且基于关键词回避策略对训练集进行样本增强，提高了方法提取文本特征的能力。
en-us	The key words were extracted from the training set and the sample of the training set was enhanced based on the strategy of key word avoidance, and the ability for the method to extract thetext features from the training set was improved.

zh-cn	实验结果表明，所提方法通过小型训练数据集即可提高网络流量异常检测模型的准确率与跨数据集检测能力，相较于其他方法，在显著降低计算复杂度的同时得到了更佳的检测能力。
en-us	The experimental results show that, the accuracy of network trafficanomaly detection model and cross dataset can be significantly improved by small training set. Compared with other me-thods, the proposed method can reduce the computational complexity and achieve better detection ability.

zh-cn	针对 IP 跳变技术导致数据分组处理时延高、开销大的问题，基于数据平面开发套件设计并实现了一种多层次网络部署结构的主动防御网关系统。
en-us	Aiming at the problems of high packet processing delay and high overhead caused by IP hopping, active de-fense gateway system with multi-layer network deployment structure was designed and implemented based on the dataplane development kit (DPDK).

zh-cn	首先，基于 DPDK 快速转发框架优化了系统的转发和处理性能；
en-us	Firstly, based on the DPDK fast forwarding framework, forwarding and processing per-formance of the system were optimized.

zh-cn	其次，针对具有 3 种不同类型 IP 地址的动态化随机映射网关，设计了高效的 IP 地址分配算法以及具有不可预测性的 IP地址变换算法。
en-us	Secondly, for the dynamic random mapping gateway with three different types ofIP addresses, an efficient IP address allocation algorithm and an unpredictable IP address conversion algorithm were de-signed.

zh-cn	实验结果表明，所设计的系统在有效减少嗅探攻击信息获取速率的同时，大幅提升了动态跳变导致的处理时延大的问题。
en-us	The experimental results show that the designed system can effectively reduce the rate of information acquisitionof sniffing attack, while greatly improving the processing delay caused by dynamic hopping.

zh-cn	为了解决网络中节点设备异常检测、智能运维、根因分析等问题，针对链路时延、网络吞吐率、设备内存使用率等时序数据，提出了一种基于图的门控卷积编解码异常检测模型。
en-us	To solve the problems of anomaly detection, intelligent operation, root cause analysis of node equipment in thenetwork, a graph-based gated convolutional codec anomaly detection model was proposed for time series data such aslink delay, network throughput, and device memory usage.

zh-cn	考虑网络场景的实时性需求以及网络拓扑连接关系对时序数据的影响，基于门控卷积对时序数据并行提取时间维度特征并通过图卷积挖掘空间依赖关系。
en-us	Considering the real-time requirements of network scenariosand the impact of network topology connections on time series data, the time dimension features of time series were ex-tracted in parallel based on gated convolution and the spatial dependencies were mined through graph convolution.

zh-cn	基于时空特征提取模块组成的编码器对原始输入时序数据编码后，卷积模块组成的解码器用于重构时序数据。
en-us	After the encoder composed of the spatio-temporal feature extraction module encoded the original input time series data, thedecoder composed of the convolution module was used to reconstruct the time series data.

zh-cn	原始数据和重构数据间的残差进一步用于计算异常分数并检测异常。
en-us	The residuals between theoriginal data and the reconstructed data were further used to calculate the anomaly score and detect anomalies.

zh-cn	在公开数据和模拟仿真平台上的实验表明，所提模型相对于目前的时间序列异常检测基准模型具有更高的识别准确率。
en-us	Experi-ments on public data and simulation platforms show that the proposed model has higher recognition accuracy than thecurrent time series anomaly detection benchmark algorithm.

zh-cn	针对汽车的网络攻击不仅会造成隐私泄露和经济损失，严重情况下还会危及生命安全，甚至上升为国家公共安全问题，因此智能网联车网络安全问题已成为当前研究的热点。
en-us	Cyber attacks on vehicles not only cause privacy leaks and economic losses but also endanger human life andeven rise to national public safety issues. Therefore, the research on the cybersecurity of intelligent and connected vehicle(ICV) has become a research hot spot.

zh-cn	首先，对智能网联车中车载网络的结构现状和特点进行了介绍，阐述了车载网络安全面临的设计约束和挑战。
en-us	Firstly, the structural status and characteristics of the in-vehicle network (IVN) inICV were introduced, and the challenges and constraints of cybersecurity enhancement design for IVN were also pre-sented.

zh-cn	其次，结合车载网络当前面临的功能安全和信息安全问题，综述了近年来车载网络安全方面国内外最新研究进展。
en-us	Secondly, focusing on the current functional safety and cybersecurity issues of IVN, a survey of the current cy-bersecurity enhancement researches for IVN was conducted.

zh-cn	最后，从车载网络结构的特点出发，从标准建设、功能安全和信息安全 3 个方面，围绕智能网联车网络信息安全问题指出了一些重要的研究方向和建议。
en-us	Finally, according to the characteristics of the IVN structure,some important research directions and suggestions about cybersecurity problems of ICV were pointed out from the threeaspects of standard construction, functional safety and cybersecurity.

zh-cn	为提高行人交互中轨迹预测速度、精度与模型可解释性，提出了一种基于社会注意力机制的 GAN 模型。
en-us	In order to improve the speed, accuracy and model interpretability of trajectory prediction in pedestrian inte-raction, a GAN model based on social attention mechanism was proposed.

zh-cn	首先，定义了一种新型社会关系，对行人间的影响进行社会关系建模，设计了基于注意力机制的网络模型，提高了网络预测速度和可解释性。
en-us	Firstly, a new type of social relationship onpedestrians was defined to model social relationships and a network model based on the attention mechanism was de-signed to improve the speed and interpretability of network prediction.

zh-cn	然后，探索不同池化汇集机制对预测结果的影响，确定性能优异的池化模型。
en-us	Secondly, the influence of different pooling me-chanisms on the prediction results was explored to determine the pooling model with excellent performance.

zh-cn	最后，搭建了轨迹预测网络，并在 UCY 和 ETH 数据集中进行训练。
en-us	Finally, atrajectory prediction network was built on this basis and trained on the UCY and ETH data sets.

zh-cn	实验结果表明，所提模型预测精度优于现有方法，且实时性较现有方法提升 18.3% 。
en-us	The experimental results show that the model not only has better prediction accuracy than the existing methods, but also improves the real-timeperformance by 18.3% compared with the existing methods.

zh-cn	针对云环境下多租户数据的安全隔离的问题，提出了一种基于 L-DHT 的多租户虚拟域隔离构建方法。
en-us	Aiming at the problem of security isolation of multi-tenant data in cloud environment, a tenant virtual domainisolation construction method based on L-DHT was proposed.

zh-cn	首先，通过设计一种基于标签 Hash 映射的多租户隔离映射算法，构建了租户资源的均衡映射机制，实现对租户资源的分布式管理；
en-us	Firstly, through the design of multi-tenant isolation map-ping algorithm based on label-hash mapping, the balanced mapping mechanism of tenant resources was constructed torealize the distributed management of tenant resources.

zh-cn	然后，针对映射到同一存储节点上租户数据间的安全隔离与访问，基于谓词加密机制，通过安全标签和租户数据的有效绑定，给出了一种基于标签谓词加密的租户数据隔离存储算法；
en-us	Secondly, for the security isolation and access between tenant da-ta mapped to the same storage node, based on the predicate encryption mechanism, through the effective binding of secu-rity labels and tenant data, a tenant data isolation storage algorithm based on label predicate encryption was designed.

zh-cn	最后，通过设计多维度的租户数据隔离控制规则，利用对安全标签的解析与认证，层次化地构建起租户间相互独立、逻辑、安全的虚拟域。
en-us	Fi-nally, by the design of multi-dimensional tenant data isolation control rules and using the analysis and authentication ofsecurity labels, independent, logical and secure virtual domains between tenants were built hierarchically.

zh-cn	安全性分析表明，所提方法构建了相互间安全无干扰的租户虚拟域。
en-us	The securityanalysis shows that the method constructs tenant virtual domains which are secure and non-interference with each other.The simulation results show that the mapping algorithm can achieve a better dynamic load balance.

zh-cn	仿真实验结果表明，映射算法能够更好地实现负载的动态平衡，并通过数据检索效率与访问安全性的对比分析，验证了租户访问数据的安全性与高效性。
en-us	The efficiency andsecurity of data access are verified by the comparative analysis of tenant data retrieval efficiency and authenticationaccess security.

zh-cn	基于传统的 Qi 混沌系统，通过增加控制参数和改变非线性项相结合的方法构造了一种具有复杂混沌特性的新型统一混沌系统。
en-us	Based on the traditional Qi chaotic system, a novel unified chaotic system with the complex chaotic characte-ristics was constructed by adding the control parameters and modifying the nonlinear terms.

zh-cn	首先，分析了所提系统的动力学行为，数值仿真了相图、时域波形图、Poincare 截面图和功率谱图；
en-us	Firstly, basic dynamical cha-racteristics of chaotic system were analyzed, and phase portrait, time domain waveform diagram, Poincare mapping andpower spectrum diagram were numerically simulated.

zh-cn	其次，讨论了系统参数变化时 Lyapunov 指数谱、分岔图和混沌信号幅度对整个系统的影响，分析表明，所提统一混沌系统能产生 4 种新的具有多参数恒 Lyapunov 指数谱特性的双翼混沌吸引子，并存在多种全局和局部的非线性调幅参数；
en-us	Secondly, system parameters influence on chaotic system was dis-cussed through Lyapunov exponent spectrum, bifurcation diagrams and chaotic signal amplitude. It was found that theunified chaotic system can generate the four new types of two-wing chaotic attractors with the multi-parameter invariableLyapunov exponent spectrum characteristics. Meanwhile, there exist the functions of the global and local nonlinear am-plitude modulation parameters.

zh-cn	再次，以所提系统的第一种混沌吸引子为例，引入 2 种新的非线性函数，实现了网格多翼的扩展；
en-us	Thirdly, taking the first chaotic attractor of system as an example by introducing the twonew types of nonlinear functions, the expansion of grid multi-wing attractor was realized.

zh-cn	最后，搭建所提统一混沌系统的硬件电路，实验观察到 4 种新混沌吸引子，与数值仿真结果一致，验证了所提系统的可行性。
en-us	Finally, the hardware circuit ofnovel unified chaotic system was constructed. The four new types of chaotic attractors are observed ex

zh-cn	深入研究了特征算子的谱表示与特征展开。
en-us	The spectral representation and expansion based on eigen-operators were deeply studied.

zh-cn	给出了特征微分方程格林函数与厄尔密特微分算子及厄尔密特积分算子的关系式，以及厄尔密特微分算子与厄尔密特积分算子两者互逆的关系式；
en-us	The relations be-tween Green's function of characteristic differential equation and Hermitian differential and integral operators were given.The inverse relations between Hermitian differential operator and Hermitian integral operator were also studied.

zh-cn	给出了厄尔密特微分算子的谱表示，指出有限区间斯刘特征方程不能用于实现无穷维的谱表示式，厄尔密特微分算子的谱表示比诺伊曼研究简单清楚得多，具有优越性；
en-us	The spectral representation of Hermitian differential operators was given. It was also shown that the S-L eigen-equation can-not be used to realize the spectral representations of infinite dimensions in a finite interval. The method is much simplerand clearer than that of Neumann, and has advantages.

zh-cn	给出了厄尔密特积 分算子的特征展开（特征分解），具有理论一般性与全面性的优点，对文献[2]中将其用于研究特征谱表示的不正确论述进行了更正；
en-us	The eigen-expansion (eigen-decomposition) of the Hermitian in-tegral operator was given, which has the advantages of theoretical generality and comprehensiveness. The incorrect dis-cussion in Wang et al [2] was correct that it is used to study the representation of characteristic spectrum.

zh-cn	给出了最优特征展开中长球面波函数命名的物理与几何意义。
en-us	The physical andgeometric meanings of naming for the long spherical wave function in optimal eigen-expansion were given.

zh-cn	作为第一种达到信道容量的高性能编码，极化码是未来 6G 数据传输的重要候选方案。
en-us	As the first type of channel code achieving the channel capacity, polar codes are an important candidate for the6G data transmission.

zh-cn	为此提出了面向6G 的极化处理框架。
en-us	A polarized processing framework for the 6G systems was proposed.

zh-cn	在此框架下，设计高性能的级联极化编码方案，可以逼近有限码长信道容量极限，符合 6G超高可靠传输要求。
en-us	In this framework, in order tofulfill the requirement of ultra-reliable transmission, a high-performance coding scheme of concatenated polar code wasdesigned to approach the channel capacity with finite-length. Then, the polar coded MIMO scheme was devised to matchthe requirement of the high spectrum efficiency.

zh-cn	进一步，设计极化编码 MIMO 方案可以匹配 6G 高频谱效率传输需求；
en-us	Finally, the scheme of polar coded non-orthogonal multiple access wasinvestigated to improve the transmission capacity.

zh-cn	设计极化编码非正交多址方案能够满足 6G 大容量传输需求。这些方案表明，极化处理能够显著提升 6G 无线传输性能，具有广阔的应用前景。
en-us	All these schemes indicate that polar processing can dramatically boostthe performance of 6G wireless transmission and become a promising direction.

zh-cn	针对以太网交换机面临的未知漏洞和未知后门安全威胁，提出了一种基于拟态防御理论的交换机内生安全体系结构。
en-us	Aiming at the unknown vulnerabilities and unknown backdoor security threats faced by Ethernet switches, aswitch endogenous security architecture based on mimicry defense theory was proposed.

zh-cn	介绍了所提体系结构的理论基础、构建方式、安全机理；提出并分析了 TAMA 的算法策略及安全提升效果；设计实现了拟态交换机原型样机并进行了白盒插桩及攻击链安全性测试。
en-us	The theoretical basis, con-struction mode and security mechanism of the architecture ware introduced, the algorithm strategy and security im-provement effect of TAMA algorithm were proposed and analyzed, a prototype of mimic switch was designed and im-plemented, and the security tests of white box stuffing and attack chain were carried out.

zh-cn	理论分析及测试结果表明，在各种攻击场景下，所提体系结构具有良好的未知漏洞和未知后门防御能力。
en-us	Theoretical analysis and testresults show that the architecture has good unknown vulnerabilities and unknown backdoor defense capabilities invarious attack scenarios.

zh-cn	针对暗通道算法在对天空区域去雾存在失真的问题，提出一种基于引导滤波和自适应容差机制的图像去雾算法。
en-us	Aiming at the problem of distortion of dark channel algorithm in defogging the sky region, an improved imagedefogging algorithm based on the guided filtering and adaptive tolerance mechanism was proposed.

zh-cn	首先，计算出不同尺寸窗口的拟合透射率图；
en-us	Firstly, the fitted trans-missivity graphs were calculated for the windows with different sizes.

zh-cn	然后，通过引导滤波对透射率进行细化处理，再利用自适应容差机制对天空区域的透射率进行修正；
en-us	Then, the transmissivity was further refined by theguided filtering technique. After that, the transmissivity in sky area was revised by an adaptive tolerance mechanism.

zh-cn	最后，将复原图像从 RGB 空间转换到 HSV 空间，对图像的亮度和对比度进行色彩补偿。
en-us	Finally,the restored image was converted from RGB space to HSV space, and thus the brightness and contrast of the images could becolor compensated.

zh-cn	实验结果表明，所提算法复原图像具有较高的清晰度，在处理天空等明亮区域时也能取得较好的去雾效果。
en-us	Experimental results show that the proposed algorithm restores the images effectively and obtain prefer-able defogging results with regard to the processing of bright areas such as the sky areas.

zh-cn	现有的 Fast-flux 域名检测方法在稳定性、针对性和流量普适性方面存在一些不足，为此提出一种基于DNS 流量的检测方法 Fast-flucos。
en-us	There are three weaknesses in previous Fast-flux domain name detection method on the aspects of stability,targeting, and applicability to common real-world DNS traffic environment. For this, a method based on DNS traffic,called Fast-flucos was proposed.

zh-cn	首先，采用流量异常过滤和关联匹配算法，以提高检测的稳定性；
en-us	Firstly, the traffic anomaly filtering and association matching algorithms were used forimproving detection stability.

zh-cn	然后，引入量化的地理广度、国家向量表和时间向量表特征，以加强对 Fast-flux 域名检测的针对性；
en-us	Secondly, the features, quantified geographical width, country list, and time list, were ap-plied for better targeting Fast-flux domains.

zh-cn	最后，采用更合理的正负样本和包括深度学习在内的多种机器学习方法确定最佳分类器和最优特征组合，以尽量确保对真实 DNS流量的普适性。
en-us	Lastly, the feature extraction were finished by the more suitable samples fortrying to adapt to common real-world DNS traffic. Several machine learning algorithms including deep learning are triedfor determining the best classifier and feature combination.

zh-cn	基于真实 DNS 流量的实验表明，Fast-flucos 的召回率、精确率和 ROC_AUC 分别达到了 0.998 6、0.976 7 和 0.992 9，均优于当前主流的 EXPOSURE、GRADE 和 AAGD 等检测方法。
en-us	The experimental result based on real-world DNS trafficshows that Fast-flucos' recall rate is 0.998 6, precision is 0.976 7, and ROC_AUC is 0.992 9, which are all better than thecurrent main stream approaches, such as EXPOSURE, GRADE and AAGD.

zh-cn	针对目前因果一致性模型中存在的元数据传播开销大、操作时延、远程更新可见时延高等问题，提出了基于共享图和部分复制策略的分布式存储因果一致性模型。
en-us	In order to solve the problem of metadata propagation overhead, operation delay and remote update visibilitylatency in the current causal consistency model, a causal consistency model for distributed data stores based on the sharedgraph and partial replication strategy was proposed.

zh-cn	该模型以共享图拓扑结构为基础，每个数据中心存放完整数据集的子集，同时，提出了共享稳定向量与混合逻辑时钟相结合的全局稳定策略，在保证因果关系的前提下，实现数据中心间的数据一致性。
en-us	This model was based on the topology of the shared graph, and eachdata center stored an arbitrary subset of the data. At the same time, the global stabilization strategy combining shared sta-ble vector and hybrid logical clocks was proposed to provide data consistency guarantees on the premise of ensuringcausality.

zh-cn	理论分析和仿真实验结果表明，与现有模型相比，所提模型在降低操作时延的同时，可有效地权衡远程更新可见性能和元数据开销。
en-us	The theoretical analysis and experimental results show that the proposed model can effectively balance the re-mote update visibility and the metadata overhead compared with the existing models while reducing the operation delay.

zh-cn	多路径传输的链路差异性和 TCP 友好性约束等因素导致将现有的 TCP 拥塞控制机制直接用于多路径传输时，会带来带宽分配不公平的问题。
en-us	Factors such as link differences and TCP friendliness constraints lead to the problem of unfair bandwidth allo-cation when the TCP congestion control mechanism was applied directly to multi-path transmission.

zh-cn	针对此问题，提出了一种基于链路容量的多路径拥塞控制算法。
en-us	To address the prob-lem, it was proposed that a multipath congestion control algorithm was based on link capacity.

zh-cn	所提算法基于反馈调节拥塞的思想，利用 M/M/1 缓存队列模型调控接收端缓存队列大小，对发送端吞吐量进行调节，实现多路径联合拥塞控制。
en-us	The proposed algorithmwhich was based on the concept of feedback regulation achieved multipath joint congestion control by establishing theM/M/1 cache queue model to adjust the throughput rate of senders.

zh-cn	实验结果证明，所提算法可提升多路径传输带宽利用率、多路径拥塞控制算法响应能力，保证多路径传输公平性。
en-us	Experimental results show the proposed algorithm canimprove the multipath transmission bandwidth utilization and the multipath congestion control algorithm responsiveness,and ensure the fairness of multipath transmission.

zh-cn	针对云存储中现有密文去重系统大多使用收敛加密，数据所有者无法对外包数据进行有效访问控制的问题，设计了支持身份认证、授权去重、权限更新等访问控制功能的密文去重系统。
en-us	To solve the problem that convergent encryption was commonly used in existing encrypted deduplication sys-tems in cloud storage and data owner couldn't effectively enforce access control on their outsourced data, an encrypted deduplication system was proposed to support access control functions such as identity authentication, authorizationdeduplication and the update of access control policy.

zh-cn	外包数据仅与授权用户去重，未授权用户无法获取数据信息；
en-us	The outsourced data was only deduplicated with the authorized us-ers, and the unauthorized users couldn't obtain any data information.

zh-cn	通过 CP-ABE 与 ElGamal 私钥的动态拆分更新数据的访问权限；
en-us	CP-ABE and the partition of the ElGamal privatekey were used to update the access control policy of data.

zh-cn	使用自我控制对象封装用户数据及其访问策略，对数据访问者进行身份认证并确保访问控制策略有效执行。
en-us	Self-control objects was used to encapsulate user's data and itsaccess policy, providing authentication for data visitors and ensuring the access control policies enforced effectively.

zh-cn	安全性分析与仿真实验表明，所提系统实现了数据访问控制且具有较高的执行效率。
en-us	Se-curity analysis and simulation results demonstrate that the proposed system enables data access control and executes effi-ciently.