Outlier Detection and Trust based Distributed Cooperative Spectrum Sensing in Internet of Vehicles

Haoshuang Zhao, Wen-hui Zhang, Xiuqiang Wu, Hongning Li, Liu He
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引用次数: 2

Abstract

With the expansion of the market of new energy vehicles and the requirement of low carbon emission, the resource reuse of the Internet of Vehicles (IoV) has attracted much attention. Cognitive radio technology is used to solve the problem of spectrum shortage of IoV. As a classic attack, spectrum sensing data falsification attack can mislead others to make wrong decisions. Traditional solutions mainly consider fixed network, which is difficult to apply to the fast moving IoV. This paper proposes a distributed collaboration method based on outlier detection, which uses outlier detection, trust management and block chain to defense spectrum sensing data falsification attack. Simulation results show that compared with traditional distributed cooperative spectrum sensing schemes, this method has certain performance advantages and can effectively defend against spectrum sensing data falsification attack launched by malicious users in IoV
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车联网中基于离群点检测和信任的分布式协同频谱感知
随着新能源汽车市场的扩大和低碳排放的要求,车联网(IoV)的资源再利用备受关注。采用认知无线电技术解决车联网频谱不足的问题。频谱感知数据伪造攻击是一种典型的攻击,会误导他人做出错误的决策。传统的解决方案主要考虑固定网络,难以适用于快速发展的车联网。本文提出了一种基于离群点检测的分布式协作方法,利用离群点检测、信任管理和区块链技术抵御频谱感知数据伪造攻击。仿真结果表明,与传统的分布式协同频谱感知方案相比,该方法具有一定的性能优势,能够有效防御车联网中恶意用户发起的频谱感知数据伪造攻击
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