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A Novel Pilot Spoofing Scheme via Intelligent Reflecting Surface Based On Statistical CSI

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posted on 02.03.2021, 19:14 by jie yangjie yang, Xinsheng Ji, Feihu Wang, Kaizhi Huang, You Zhou
Pilot spoofing attack brings new challenges to the physical layer secure transmission. However, since the inherent characteristics of wireless environment have not changed, active eavesdropping can be detected based on prior information. Intelligent reflecting surface (IRS), with the real-time programmable features for wireless channels, provides new possibilities for effective pilot spoofing. In this paper, the IRS is deployed near the legitimate users and the control strategy is embeded into the legitimate communication process under time-division duplex mode to assist eavesdroppers to conduct pilot spoofing. By setting different phase shifts at the IRS during the uplink phase and downlink phase, the channel reciprocity disappears, and thus secure beamforming vector is biased towards the eavesdropper. Furthermore, in order to overhear more information, the average secrecy rate minimization problem based on statistical channel state information is established by carefully designing the phase shifts, which is non-trivial to solve. With alternating optimization and Charnes-Cooper transformation technique, the original problem is transformed into convex form and a near optimal solution is achieved. Finally, simulation results show that our proposed scheme can pose serious secure threat without any energy footprint. What's more, if the IRS is not utilized by the internal users properly, it will bring more threat.


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