ID 原文 译文
20835 该文提出一种基于随机加法链的AES抗侧信道攻击对策，该对策用随机加法链代替之前固定的加法链来实现有限域GF(28)上的乘法求逆操作，在此基础上研究随机加法链对算法安全性和有效性方面的影响。 In this paper, a countermeasure against side-channel attack is proposed based on random addition-chain for AES by replacing the fixed addition-chain with random addition-chain to realize the inverse operation of multiplication in a finite field GF(28). The impact of the random addition-chain on the security and effectiveness of the algorithm is studied.
20836 实验表明，所提随机加法链算法比之前固定的加法链算法在抵御侧信道攻击上更加安全、有效。 Experimental results show that the proposed random addition-chain based algorithm is more secure and effective than the previous fixed addition-chain based algorithms indefending against side channel attacks.
20837 针对5G云化接入网场景下物理网络拓扑变化引起的高时延问题，读文提出一种基于部分观察马尔可夫决策过程(POMDP)部分感知拓扑的接入网服务功能链(SFC)部署方案。 To solve problem of the high delay caused by the change of physical network topology under the 5Gaccess network C-RAN architecture, this paper proposes a scheme about dynamic deployment of ServiceFunction Chain (SFC) in access network based on Partial Observation Markov Decision Process (POMDP).
20838 该方案考虑在5G接入网C-RAN架构下，通过心跳包观测机制感知底层物理网络拓扑变化， Inthis scheme, the system observes changes of the underlying physical network topology through the heartbeatpacket observation mechanism.
20839 由于存在观测误差无法获得全部真实的拓扑情况，因此采用基于POMDP的部分感知和随机学习而自适应动态调整接入网切片的SFC的部署，优化SFC在接入网侧的时延。 Due to the observation errors, it is impossible to obtain all the real topologicalconditions. Therefore, by the partial awareness and stochastic learning of POMDP, the system dynamicallyadjust the deployment of the SFC in the slice of the access network when topology changes, so as to optimizethe delay.
20840 为了解决维度灾问题，采用基于点的混合启发式值迭代算法求解。 Finally, point-based hybrid heuristic value iteration algorithm is used to find SFC deploymentstrategy.
20841 仿真结果表明，该模型可以优化部署接入网侧的SFC，并提高接入网吞吐量和资源利用率。 The simulation results show that this model can support to optimize the deployment of SFC in the access network side and improve the access network’s throughput and resource utilization.
20842 针对Keystone变换在宽带阵列预处理方面的优势和常规Keystone变换存在的阵元数据缺失问题，该文将自回归模型与常规Keystone变换相结合，提出一种基于提升Keystone变换的声呐宽带自适应波束形成算法。 Keystone transform is an effective broadband array signal pre-processing method, but it has a main problem of array data missing. In order to solve this problem, an enhanced Keystone transform algorithm, which combines the autoregression model with traditional Keystone transform, is proposed in this paper for sonar broadband adaptive beamforming.
20843 该算法首先将常规Keystone变换应用于宽带阵列信号的相位对齐，接着采用自回归模型对变换后各频段缺失的阵元数据进行预测补偿，最后通过稳健自适应波束形成处理获得目标方位输出结果。 After phase alignment of broadband array signal using traditionalKeystone transform, autoregression models for each frequency are constructed to compensate the missing arraydata. Then, a robust adaptive beamforming approach is utilized to obtain the target bearing results.
20844 仿真实验结果表明，基于提升Key-stone变换的宽带自适应波束形成算法性能优于常规Keystone自适应算法、指向最小方差自适应算法和聚焦自适应算法。 The results of simulation studies indicate that the proposed broadband adaptive beamforming algorithm based on enhanced Keystone transform outperforms the beamforming algorithms based on traditional Keystone transform, steered minimum variance and frequency focusing.