认知无线电PUE攻击下次用户性能分析

Performance Analysis of Secondary Users in Cognitive Radio Network Under PUE Attack

随着认知无线电网络(CRN)技术的不断发展,安全问题日益受到重视。模仿主用户(PUE)是一种典型的易于实现且对CRN影响巨大的攻击行为,根据产生原因、目的和过程的差异,可以分为恶意不端次用户PUE和自私不端次用户PUE两类攻击。已有文献大多针对前者进行了分析,而对后者分析极少。这里重点对两者进行了区分,提出了四维连续时间马尔科夫链分析模型,详细分析了自私不端次用户PUE攻击对正常次用户通信性能的影响,并对比了几类典型的PUE攻击检测技术。通过仿真结果可以看出:PUE攻击检测技术引入自私不端次用户检测机制极为必要,可以有效改进检测效果。

CRN （Cognitive Radio Network）, as an effective technology and a hot research topic, could solve the problem of resource deficiency and improve resource utilization. And its security technology attracts more and more attention from the researchers. PUE （Primary user emulation） is a typical attack of easy implementation and significant influence to CRN. PUE attack could be classified as MMU （malicious misbehavior secondary users） attack and SMU （selfish misbehavior secondary users） attack, and more study is focused on the former while less on the latter. This paper discusses in detail the distinction of MMU and SMU, and proposes an analysis model of 4D continuous time Markov chain for analyzing the communication performance of normal secondary users under PUE attack by SMUs. In addition, several PUE detection technologies are also compared. Simulation results indicate that the SMU detection mechanism is essential for the PUE attack detection technology, and this mechanism could greatly improve the detection effectiveness.