认知无线电网络中安全的合作频谱感知

The Sensing of the Secure Cooperative Spectrum in Cognitive Radio Networks

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 established threat model in cognitive radio networks, the performance loss of conventional cooperative spectrum operative spectrum sensing alg reputation values are updated from reputation values, and th sensing scheme under malicious attacks is figured out. And a weighted coorithm is proposed based on the cognitive radio＇ s （CRs＇） reputation. The according to the behavior history of CRs, the weighted factors are derived e final result is made by weighted fusion as well. Simulations show that the new method outperforms the conventional cooperative spectrum sensing algorithms under threat environment.