当前位置: X-MOL 学术Phys. Commun. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Proactive eavesdropping rate maximization with UAV spoofing relay
Physical Communication ( IF 2.2 ) Pub Date : 2022-09-13 , DOI: 10.1016/j.phycom.2022.101880
Qian Dan , Fahui Wu , Meng Xu , Dingcheng Yang , Ying Yu , Yutian Zhang

Spoofing relay is an effective way for legitimate agencies to monitor suspicious communication links and prevent malicious behaviors. The unmanned aerial vehicles(UAVs)-assisted wireless information surveillance system can virtually improve proactive eavesdropping efficiency thanks to the high maneuverability of UAVs. This paper aims to maximize the eavesdropping rate of the surveillance system where the UAV is exploited to actively eavesdrop by spoofing relay technology. We formulate the problem to jointly optimize the amplification coefficient, splitting ratio, and UAV’s trajectory while considering successful monitoring. To make the nonconvex problem tractable, we decompose the problem into three sub-problems and propose a successive convex approximation based alternate iterative algorithm to quickly obtain the near-optimal solution. The final simulation results show that the UAV as an active eavesdropper can effectively increase the information eavesdropping rate than a passive eavesdropper.



中文翻译:

通过无人机欺骗中继实现主动窃听率最大化

欺骗中继是合法机构监控可疑通信链路和防止恶意行为的有效方式。由于无人机的高机动性,无人机辅助的无线信息监视系统实际上可以提高主动窃听效率。本文旨在最大限度地提高监视系统的窃听率,其中利用无人机通过欺骗中继技术进行主动窃听。我们制定问题以在考虑成功监控的同时联合优化放大系数、分光比和无人机的轨迹。为了使非凸问题易于处理,我们将问题分解为三个子问题,并提出了一种基于逐次凸逼近的交替迭代算法,以快速获得近似最优解。

更新日期:2022-09-13
down
wechat
bug