Proof of Reputation : A Blockchain-Based Countermeasure to Defend Against Massive SSDF in Cognitive Radio Networks

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

View graph of relations

Author(s)

  • Zhen Chen
  • Zhaohui Yang

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)2693-2697
Journal / PublicationIEEE Communications Letters
Volume28
Issue number11
Online published27 Jun 2024
Publication statusPublished - Nov 2024

Abstract

The reliability and accuracy of cooperative spectrum sensing (CSS) in cognitive radio networks (CRNs) are highly dependent on the integrity of the shared spectrum sensing data. However, driven by selfishness and malicious intentions, secondary users (SUs) may launch SSDF attacks, resulting in the damage to the integrity of sensing data, which will seriously affect the performance of CRNs, especially under massive SSDF attacks. Therefore, a blockchain-based CSS model is firstly proposed and a reputation-based consensus mechanism, named proof of reputation (PoR), is designed to enable CSS to countermeasure massive SSDF attacks in an environmentally friendly manner while supporting the operation of blockchain. Secondly, a reputation evaluation scheme based on extended sensing time and transmission result is developed to evaluate the reputation of SUs. In addition, in order to maximize the recognition performance of SSDF attacks, a closed-form expression of the optimal decision threshold constrained by the misjudged probability of honest SU is derived. Finally, the effectiveness and superiority of the proposed PoR consensus algorithm against massive SSDF attacks are demonstrated by comparing the simulation with the existing solutions.

© 2024 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

Research Area(s)

  • blockchain, Cognitive radio networks, PoR, SSDF

Citation Format(s)

Proof of Reputation: A Blockchain-Based Countermeasure to Defend Against Massive SSDF in Cognitive Radio Networks. / Yang, Ning; Jiang, Hao; Guo, Daoxing et al.
In: IEEE Communications Letters, Vol. 28, No. 11, 11.2024, p. 2693-2697.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review