基于能量指纹匹配的无线认知网络仿冒主用户攻击检测

摘要

频谱感知是无线认知网络有效工作的基础,现有研究主要集中在提高频谱检测的效率,对于如何保证在不可信的网络环境中实现安全可靠的频谱感知还没有理想的解决方案.针对频谱感知过程中存在的一种典型攻击行为一仿冒主用户攻击,提出了一种基于能量指纹匹配的检测方案.认知用户利用自身的位置分布特征,使用能量检测生成主用户的能量指纹,以此作为节点的身份标识,分析不同用户对频谱资源的使用方式,最终实现对仿冒行为的检测.理论分析以及模拟测试表明,该方案在误检概率较低的前提下,可以有效地检测仿冒攻击行为,提高频谱感知的准确率.%Spectrum sensing is an essential mechanism in cognitive radio networks. While so many works have been done or being carried on upon improving the efficiency of the sensing process,there is no appropriate scheme to realize security sensing in untrustworthy environments. We proposed a mechanism based on Energy Fingerprint(EF) matching to address a typical attack in CR networks,the Primary User Emulation Attack(PUEA). Based on the distribution of their positions and through energy detection,the secondary users can create PU's EF which is used as an identification of node to analyze the spectrum accessing mode of different users,and finally detect the PUEA. Through analysis and simulation, it can be demonstrated that while keeping the probability of missing the return of the primary low,it is possible to detect the emulation attack effectively.