A Robust MOR-Based Secure Fusion Strategy Against Byzantine Attack in Cooperative Spectrum Sensing

Guo, Lei; Chen, Weifeng; Cong, Yang; Yan, Xuechun

doi:10.1007/978-981-99-3581-9_6

Cited by 4 publications

(1 citation statement)

References 18 publications

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“…In reference 13, a secure estimation secure diffusion least‐mean‐square algorithm against both Byzantine and manipulation attack was proposed. A modified outlier removal spectrum sensing scheme was proposed to conditionally remove outlier in reference 14. In front of the collusive attackers and the changeable attack probability, a frequency change rate defense algorithm was proposed in reference 15.…”

Section: Introductionmentioning

confidence: 99%

Less sample‐cooperative spectrum sensing against large‐scale Byzantine attack in cognitive wireless sensor networks

Wu,

Dai,

Teng

et al. 2024

Trans Emerging Tel Tech

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Cooperative spectrum sensing (CSS) has emerged as a promising strategy for identifying available spectrum resources by leveraging spatially distributed sensors in cognitive wireless sensor networks (CWSNs). Nevertheless, this open collaborative approach is susceptible to security threats posed by malicious sensors, specifically Byzantine attack, which can significantly undermine CSS accuracy. Moreover, in extensive CWSNs, the CSS process imposes substantial communication overhead on the reporting channel, thereby considerably diminishing cooperative efficiency. To tackle these challenges, this article introduces a refined CSS approach, termed weighted sequential detection (WSD). This method incorporates channel state information to validate the global decision made by the fusion center and assess the trust value of sensors. The trust value based weight is assigned to sensing samples, which are then integrated into a sequential detection framework within a defined time window. This sequential approach prioritizes samples based on descending trust values. Numerical simulation results reveal that the proposed WSD outperforms conventional fusion rules in terms of the error probability, sample size, achievable throughput, and latency, even under varying degrees of Byzantine attack. This innovation signifies a substantial advancement in enhancing the reliability and efficiency of CSS.

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Section: Introductionmentioning

confidence: 99%