ID 原文 译文
24065 该文针对本地网络同类型 Bot 隐蔽地获取控制命令信息问题，提出一种基于 LLMNR 协议与证据理论的命令控制信息分享机制，首先定义了开机时间比和 CPU 利用率两个评价 Bot 性能的指标。 For the problem that how to covertly get and share C&C information between the same type bots in local network, a C&C Information Sharing scheme based on Link-Local Multicast Name Resolution (LLMNR) protocol and Evidential (CCISLE) theory is proposed. Firstly, for measuring bot performance, two metrics are defined: running time ratio and CPU utilization rate.
24066 其次本地网络中多个同类 Bot 间利用 LLMNR Query包通告各自两个指标值，并利用 D-S 证据理论选举出僵尸主机临时代表 BTL(Bot Temporary Leader)。 Secondly, the same type bots will inform their own two metrics to each other via LLMNR query packets and utilize D-S evidential theory to vote BTL (Bot Temporary Leader).
24067 接着仅允许 BTL 与命令控制服务器进行通信并获取命令控制信息。 Then only BTL can be proved to communicate with C&C servers and C&C information can be obtained.
24068 最后，BTL 通过 LLMNR Query 包将命令控制信息分发给其它 Bot。 Lastly, BTL will share the C&C information with other bots through LLMNR query packets.
24069 实验结果表明，该机制能使多个同类 Bot 完成命令控制信息的共享，选举算法能根据 Bot 评价指标实时有效选举出 BTL，在网络流量较大时仍呈现较强的鲁棒性，且选举过程产生流量也具有较好隐蔽性。 The experimental results show that CCISLE can help the same type bots achieve sharing C&C information successfully. The voting algorithm based on D-S evidential theory is able to elect BTL effectively with two proposed metrics and still present better robustness when in heavy network traffic. Moreover, the traffic produced during BTL voting process also has good covertness.
24070 为求解较大规模 FPRM 逻辑电路中多约束条件下的极性优化问题，该文提出一种基于多目标离散粒子群优化(Multi-Objective Discrete Particle Swarm Optimization, MODPSO)算法的求解方法。 For multi-constrained polarity optimization of large-scale FPRM circuits, a Multi-Objective Discrete Particle Swarm Optimization (MODPSO) algorithm is proposed.
24071 首先针对 FPRM 电路极性设计需要满足延时短、面积小的多约束要求，构建了多目标决策模型。 Firstly, the multi-objective decision model is established according to the delay-area trade-off of large-scale FPRM circuits.
24072 然后结合极性转换算法和 MODPSO 算法，对电路进行最优极性搜索，以获取电路延时和面积的 Pareto 最优解集。 Secondly, combined with tabular technique and MODPSO, the best polarities of delay and area are searched for large-scale FPRM circuits, to obtain the Pareto optimal set for delay and area.
24073 最后利用 17 个 MCNC Benchmark 电路进行测试，并将 MODPSO 算法与 DPSO 算法、NSGA-II 算法进行实验对比，结果验证了算法的有效性。 Finally, the algorithm MODPSO is compared with the algorithm DPSO and NSGA-II on MCNC Benchmarks with PLA format, and the results verify the effectiveness of the MODPSO.
24074 在基于惯性传感器的室内人员自主定位系统中，由于陀螺仪存在随时间增长的漂移，需要依靠地磁场对航向校正。 In inertial based self-contained pedestrian positioning systems, because the drifts of the gyroscopes grow with time, it relies on the earth magnetic field to suppress the heading errors.