Proactive Eavesdropping in Relay Systems via Trajectory and Power Optimization

被引:0
作者
Dan, Qian [1 ,2 ]
Lei, Hongjiang [1 ,3 ]
Park, Ki-Hong [4 ]
Lei, Weijia [1 ,3 ]
Pan, Gaofeng [5 ]
机构
[1] Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing 400065, Peoples R China
[2] Jiangxi Univ Chinese Med, Sch Comp Sci, Nanchang 330004, Peoples R China
[3] Chongqing Univ Posts & Telecommun, Chongqing Key Lab Mobile Commun Technol, Chongqing 400065, Peoples R China
[4] King Abdullah Univ Sci & Technol, CEMSE Div, Thuwal 239556900, Saudi Arabia
[5] Beijing Inst Technol, Sch Cyberspace Sci & Technol, Beijing 100081, Peoples R China
来源
IEEE INTERNET OF THINGS JOURNAL | 2024年 / 11卷 / 20期
基金
中国国家自然科学基金;
关键词
Trajectory; Jamming; Relays; Autonomous aerial vehicles; Eavesdropping; Wireless communication; Cooperative systems; Jamming power; proactive eavesdropping (PE); trajectory optimization; unmanned aerial vehicle (UAV); DATA-COLLECTION; COMMUNICATION DESIGN; UAV; NETWORKS; SECURITY; RESOURCE;
D O I
10.1109/JIOT.2024.3430976
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Wireless relays can effectively extend the transmission range of information. However, if relay technology is utilized unlawfully, it can amplify potential harm. Effectively surveilling illegitimate relay links poses a challenging problem. Unmanned aerial vehicles (UAVs) can proactively surveil wireless relay systems due to their flexible mobility. This work focuses on maximizing the eavesdropping rate (ER) of UAVs by jointly optimizing the trajectory and jamming power. To address this challenge, we propose a new iterative algorithm based on block coordinate descent and successive convex approximation technologies. Simulation results demonstrate that the proposed algorithm significantly enhances the ER through trajectory and jamming power optimization.
引用
收藏
页码:33744 / 33757
页数:14
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