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

被引:0
|
作者
Yang, Ning [1 ]
Jiang, Hao [2 ]
Guo, Daoxing [1 ]
Liu, Yuan [1 ]
Ding, Guoru [1 ]
Chen, Zhen [3 ]
Yang, Zhaohui [4 ,5 ]
机构
[1] Army Engn Univ PLA, Coll Commun Engn, Nanjing 210000, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Sch Artificial Intelligence, Nanjing 210044, Peoples R China
[3] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China
[4] Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou, Peoples R China
[5] Zhejiang Prov Key Lab Informat Proc Commun & Netwo, Hangzhou 310007, Peoples R China
基金
中国国家自然科学基金;
关键词
Sensors; Benchmark testing; Signal to noise ratio; Monitoring; Accuracy; Gaussian distribution; Consensus protocol; Cognitive radio networks; blockchain; SSDF; PoR;
D O I
10.1109/LCOMM.2024.3419829
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
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.
引用
收藏
页码:2693 / 2697
页数:5
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