在建立认知无线电网络威胁模型的基础上,分析了恶意攻击下传统合作频谱感知算法性能的下降程度.为了对抗恶意用户对频谱感知协议的攻击,提出了一种基于信誉的加权合作频谱感知算法.该算法根据每个认知用户的历史行为更新其信誉值,再利用信誉值为每个认知用户分配加权因子,最后进行加权融合及判决.仿真结果表明,在威胁环境下新算法优于传统合作频谱感知算法. Based on the establishment of the cognitive radio network threat model, the degradation of the performance of the traditional cooperative spectrum sensing algorithm under malicious attacks is analyzed.In order to combat malicious users’ attacks on spectrum-aware protocols, a reputation-based weighted cooperative spectrum sensing algorithm .According to the historical behavior of each cognitive user, this algorithm updates its reputation value, and then uses the reputation value to assign weighting factors to each cognitive user.Finally, weighted fusion and decision are made.The simulation results show that the new algorithm is superior to Traditional cooperative spectrum sensing algorithm.