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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.
Collaborative sensing technology can greatly improve the spectrum sensing effect in cognitive radio networks, but also brings some security risks, such as spectrum-aware data forgery attacks.For a single malicious sub-user-initiated continuous spectrum-aware data forgery attack and several malicious times User-initiated disassociated spectrum-aware data forged attacks, a distributed reputation model for collaborative spectrum sensing is designed and implemented.The simulation results show that this model can effectively identify malicious secondary users and resist the forgery attacks of spectrum-aware data.At the same time, The model also has a smaller false alarm rate, loss rate and better fault tolerance.