分布式协作频谱感知的信誉模型

协作感知技术能大大提高认知无线电网络中的频谱感知效果，但也会产生一些安全隐患，如频谱感知数据伪造攻击。针对单个恶意次用户发起的连续性频谱感知数据伪造攻击和若干个恶意次用户发起的非连续性频谱感知数据伪造攻击，设计并实现了一种分布式协作频谱感知的信誉模型。仿真实验表明，该模型能有效地识别恶意次用户和抵御频谱感知数据伪造攻击。同时，该模型还具有较小的虚警率、丢失率和较好的容错能力。

Reputation Model for Distributed Collaborate Spectrum Sensing

Collaborative spectrum sensing can greatly improve the effect of the spectrum sensing in cogni-tive radio network. However, it also brings some security risks such as spectrum sensing data falsification ( SSDF) attack. To against the successional and discontinuous SSDF attacks launched by the single mali-cious secondary user and some malicious secondary users, respectively, a reputation model for distributed collaborate spectrum sensing was proposed. Simulation shows that the proposed model can effectively i-dentify the malicious secondary users and resist the SSDF attack. Moreover, it also has lower probability of false alarm detection, lower probability of loss detection, and better fault-tolerant ability.