基于CSS的认知无线电网络PUEA检测和缓解

针对认知无线电网络中的主用户仿真攻击问题,提出了一种基于能量检测的协作频谱感知方法.首先,假设存在一个智能攻击者,它能知道自己所处环境并可以选择不同的传输策略.然后,调整CSS规则和相关参数为能量探测器确定合适且有效的阈值.最后,利用Neyman-Pearson准则进行能量检测,从而检测出恶意攻击.仿真结果表明,相比传统的基于能量检测的频谱感知方法,该方法可以更好地减轻PUEA在频谱感知中的破坏作用.

The research of PUEA detecting and mitigating based on CSS in cognitive radio network

For the primary user emulation attack problem in cognitive radio network, a cooperative spectrum sensing method based on energy detecting is proposed. Firstly, a smart attacker is assumed which is aware of its radio environment and may choose different transmission strategies. Then, CSS rules and related parameters are adjusted to select appropriate and effective threshold for energy detector. Finally, Neyman-Pearson rule is used to do energy detection so as to detecting malicious attack. Experimental results show that proposed method can improve the destructive effect of PUEA in spectrum sensing comparing to traditional spectrum sensing based on energy detecting.