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An Intelligent Reflecting Surface-Based Attack Scheme Against Dual-Functional Radar and Communication Systems
IEEE Transactions on Information Forensics and Security ( IF 6.8 ) Pub Date : 2024-04-17 , DOI: 10.1109/tifs.2024.3390621
Beiyuan Liu 1 , Jinjing Jiang 2 , Qian Liu 1 , Jiajia Liu 1 , Sai Xu 3
Affiliation  

Dual-functional radar and communication (DFRC) system is capable of sensing potential eavesdroppers close to the DFRC base station (BS) and further ensuring secure transmission using physical layer security technologies based on the obtained location information of eavesdroppers. However, such security can be threatened by a malicious intelligent reflecting surface (IRS) that simultaneously changes both radar and communication channels. To reveal this threat, an IRS-based active attack scheme is proposed in this paper under the assumption of a prevalent DFRC framework. In this scheme, the attacker, equipped with a malicious IRS, carefully controls and optimizes the IRS phase shifts in each stage of the DFRC framework to reduce its reflected radar echo power to the BS and/or strength the wiretap link gain for pilot spoofing attack according to the statistical channel state information. Numerical results show that our proposed attack scheme can significantly reduce the secrecy rate of the legitimate user, while avoid being detected by the DFRC BS.

中文翻译:

针对双功能雷达和通信系统的智能反射面攻击方案

双功能雷达和通信(DFRC)系统能够感知靠近DFRC基站(BS)的潜在窃听者,并根据获得的窃听者位置信息,使用物理层安全技术进一步确保安全传输。然而,这种安全性可能会受到同时改变雷达和通信通道的恶意智能反射面 (IRS) 的威胁。为了揭示这种威胁,本文在流行的 DFRC 框架的假设下提出了一种基于 IRS 的主动攻击方案。在该方案中,配备恶意IRS的攻击者仔细控制和优化DFRC框架每个阶段的IRS相移,以减少其反射到BS的雷达回波功率和/或增强用于飞行员欺骗攻击的窃听链路增益根据统计的信道状态信息。数值结果表明,我们提出的攻击方案可以显着降低合法用户的保密率,同时避免被 DFRC BS 检测到。
更新日期:2024-04-17
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