An Anti-Jamming Strategy for Disco Intelligent Reflecting Surfaces Based Fully-Passive Jamming Attacks
Huan Huang, Hongliang Zhang, Yi Cai, A. Lee Swindlehurst, and Zhu Han

TL;DR
This paper proposes an anti-jamming strategy for MU-MISO systems against fully-passive jammers using disco IRSs, which employ statistical channel characteristics to mitigate active channel aging without needing channel state information.
Contribution
The paper introduces a novel anti-jamming precoder based on statistical channel characteristics, effectively countering DIRS-based fully-passive jamming attacks without requiring CSI.
Findings
The anti-jamming precoder significantly reduces the impact of DIRS-based jamming.
The proposed method does not rely on LU channel state information.
Numerical results demonstrate improved system robustness against passive jamming.
Abstract
Emerging intelligent reflecting surfaces (IRSs) significantly improve system performance, while also pose a huge risk for physical layer security. A disco IRS (DIRS), i.e., an illegitimate IRS with random time-varying reflection properties, can be employed by an attacker to actively age the channels of legitimate users (LUs). Such active channel aging (ACA) generated by the DIRS-based fully-passive jammer (FPJ) can be applied to jam multi-user multiple-input single-output (MU-MISO) systems without relying on either jamming power or LU channel state information (CSI). To address the significant threats posed by the DIRS-based FPJ, an anti-jamming strategy is proposed that requires only the statistical characteristics of DIRS-jammed channels instead of their CSI. Statistical characteristics of DIRS-jammed channels are first derived, and then the anti-jamming precoder is given based on the…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Ocular Disorders and Treatments · Ocular Oncology and Treatments
