Byzantine Attacks in RIS-Enhanced Cooperative Spectrum Sensing: A Decision Fusion Perspective
Gaoyuan Zhang, Gaolei Song, Boyuan Li, Zijian Li, Baofeng Ji, Ruijuan Zheng, Guoqiang Zheng, Tony Q.S. Quek

TL;DR
This paper investigates Byzantine attacks in RIS-enhanced cooperative spectrum sensing for mobile cognitive radio networks, revealing attack strategies that do not require prior global channel information and highlighting the impact of Byzantine node fraction.
Contribution
It introduces a novel framework for channel-aware Byzantine attacks in RIS-assisted CSS without needing global ICSI, and analyzes their effectiveness under mobility and relay scenarios.
Findings
Optimal attack strategies do not require prior global ICSI.
Attack effectiveness depends mainly on Byzantine node fraction.
Countermeasures can relax reliance on global channel information.
Abstract
From the perspective of hard decision fusion, we investigate Byzantine attacks in Reconfigurable Intelligent Surface (RIS)-enhanced and decode-and-forward relay-assisted Cooperative Spectrum Sensing (CSS) for mobile Cognitive Radio Networks (CRNs) in this paper. Specially, a RIS-enhanced and decode-and-forward relay-assisted CSS configuration is first constructed under dynamic channel scenarios due to user mobility. Subsequently, the channel- and attack-aware hard decision fusion rules are developed, and the optimal channel-aware Byzantine attack strategies are then developed under both small-scale and large-scale attacking scenarios. The corresponding results depict that the optimal attack strategy does not require any a prior knowledge of the global instantaneous Channel State Information (ICSI) (e.g. false alarm probability and detection probability of all the secondary users),…
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Taxonomy
TopicsCognitive Radio Networks and Spectrum Sensing · Advanced Wireless Communication Technologies · Wireless Communication Security Techniques
