主用户模拟攻击下的协作频谱感知方法

针对存在主用户模拟攻击(primary user emulation attack,PUEA)下的频谱感知问题,提出了一种基于攻击强度阈值(attack-aware threshold,ART)的协作频谱感知方法。该方法首先建立了存在PUEA的网络模型,然后分析4种状态下协作频谱感知的特点,采用检测统计量的一阶和二阶矩估计出PUEA攻击的概率,最后以总误差概率为目标函数,求出不同攻击强度下的最佳门限阈值,并通过ART方法完成在不同攻击强度下的协作频谱感知。仿真实验表明,该方法能够估计恶意信号出现的概率,有效减少频谱感知总误差概率,提高整个网络的频谱感知性能。

Cooperative spectrum sensing under primary user emulation attack

In order to solve the problem of spectrum sensing under primary user emulation attack (PUEA), a cooperative spectrum sensing technology based on the attack-aware threshold (ART) is proposed. Firstly, this method first establishes a network model with PUEA. Then the characteristics of the cooperative spectrum sensing under the four states are analyzed, and the first moment and two moments of the detection statistics are used to estimate the probability of PUEA. Finally, the total error probability is taken as the objective function. We get the best threshold and accomplish the cooperative spectrum sensing under different attack intensities through the ART method. Simulation results show that this method can estimate the probability of occurrence of malicious signals, effectively reduce the total error probability of spectrum sensing, and improve the spectrum sensing performance of the whole network.