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Less sample-Cooperative Spectrum Sensing Against Large-scale Byzantine Attack in Cognitive Wireless Sensor Networks
  • +5
  • Jun Wu,
  • Mingyuan Dai,
  • Xuyang Teng,
  • Chao Wu,
  • Meilin He,
  • Haoyu Liang,
  • Hao Chen,
  • Ye Jin
Jun Wu
Hangzhou Dianzi University School of Communication Engineering

Corresponding Author:[email protected]

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Mingyuan Dai
Hangzhou Dianzi University School of Communication Engineering
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Xuyang Teng
Hangzhou Dianzi University School of Communication Engineering
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Chao Wu
Hangzhou Dianzi University School of Communication Engineering
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Meilin He
Hangzhou Dianzi University School of Communication Engineering
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Haoyu Liang
Hangzhou Dianzi University School of Communication Engineering
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Hao Chen
Hubei Business College
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Ye Jin
Hangzhou Dianzi University School of Communication Engineering
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Abstract

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 (MSs), 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 (CSI) to validate the global decision made by the fusion center (FC) 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 error probability and sample size, even under varying degrees of Byzantine attack. This innovation signifies a substantial advancement in enhancing the reliability and efficiency of CSS.
09 Feb 2024Submitted to Transactions on Emerging Telecommunications Technologies
09 Feb 2024Submission Checks Completed
09 Feb 2024Assigned to Editor
12 Apr 20241st Revision Received
12 Apr 2024Submission Checks Completed
12 Apr 2024Assigned to Editor
07 May 2024Editorial Decision: Revise Minor
15 May 2024Review(s) Completed, Editorial Evaluation Pending
15 May 2024Submission Checks Completed
15 May 2024Assigned to Editor
16 May 2024Reviewer(s) Assigned
06 Jun 2024Editorial Decision: Accept