ID 原文 译文
5124 现有网络监测系统缺少针对“策略式攻击”精准有效的监测策略。 Existing network monitoring systems lack accurate and effective monitoringstrategies for “strategic attacks”.
5125 因此，在敌对环境中，如何优化部署采集代理获取更好的监测效果成为一个极为重要的课题。 Therefore, in an adversarial environment, how to optimize the deployment of collectionagents for better monitoring results becomes an extremely important issue.
5126 针对该问题，提出了一种顽健采集代理部署策略。 Based on this, a robust deployment strategy ofcollection agents was proposed for the above mentioned problem.
5127 首先，引入攻防博弈思想，对采集代理和威胁事件及其之间的关系进行度量，构建度量攻防博弈模型——MADG 模型； Firstly, the idea of attack-defense game was introducedto measure the collection agents, threat events and their relations, then the MADG model was built.
5128 然后，考虑传统精确求解算法无法求解该问题，利用目标函数的次模和非增的性质设计了顽健采集代理部署算法——RCD 算法进行近似求解； Secondly, consideringthat the traditional accurate solution algorithm cannot solve the problem, the robust acquisition agent deployment algo-rithm called RCD algorithm was designed to approximate the problem by using the sub-module and non-growths of theobjective function.
5129 最后，对 RCD 算法进行了验证。 Finally, the RCD algorithm was verified.
5130 实验结果表明，所提模型和方法是可行有效的，且具有可扩展性。 The experimental results show that the above model andmethod is feasible, effective and expandable.
5131 给出了多输入单输出窃听链路中人工噪声策略安全性能的统一分析。 A comprehensive performance analysis of artificial noise (AN) assisted secure transmission in multiple-inputsingle-output (MISO) wiretap channels was presented.
5132 通过对私密信号和人工噪声之间最优功率分配的研究，发现人工噪声策略不是在所有情况下都能有效提升系统的安全性，同时给出了人工噪声工作的临界信噪比。 It was shown that the AN scheme did not always improve the se-curity, and provided an exact signal-to-noise ratio (SNR) threshold below which AN did not work.
5133 此外，基于保密速率的下界得出了适应任意信噪比的功率分配表达式，据此推导出了未知窃听用户统计信道信息情况下的功率分配结果。 An explicit result of the optimal power allocation (OPA) using the lower bound to the ergodic secrecy rate (ESR) was presented and the OPAfor the worst case without the knowledge of the eavesdropper's relative distance was also provided.