Cognitive radio(CR)allows secondary users(SUs)to dynamically access the spec-trum resources being authorized by the primary user(PU)and improves the spectrum utiliza-tion.Cooperative spectrum sensing(CSS)is the key function of CR technology to detect the PU signal by spatial diversity.However,due to the openness of CR networks(CRNs),the CSS process may suffer from Byzantine attack,in which malicious users(MUs)falsify the state information about the PU and then cause the harmful interference to the PU's commu-nication or selfishly occupy the spectrum resources.In addition,CSS requires more sensing times to detect the PU signal because of the cooperative paradigm,therefore further decrea-sing the cooperative performance and efficiency.In view of this,this paper proposed a sliding window-based CSS(SW-CSS)scheme to mitigate the negative impact of Byzantine attack and improve cooperative efficiency.To this end,on basis of in-depth analyses on the blind prob-lem,this paper formulated a random Byzantine attack model from the malicious perspective to characterize the malicious behaviors.In order to solve the blind problem in the process of the sample fusion,this paper proposed a delivery evaluation mechanism to lay a solid founda-tion for SW-CSS.On the basis of this,this paper further evaluated the trust value(TrV)to improve the cooperative efficiency in the reporting stage.At last,simulation results show that regardless of the malicious ratio,SW-CSS only requires the average number of samples(ANS)6 to provide with 100%detection accuracy in the presence of always attack while also provides with remarkable performance when the malicious ratio exceeds 50%.
关键词
协作频谱感知/拜占庭攻击/交付评估机制/基于滑动窗口的权重分配/动态报告方式/序贯概率比检验
Key words
cooperative spectrum sensing/Byzantine attack/delivery evaluation mechanism/sliding window-based weight allocation/dynamic reporting way/sequential probability ratio test
维普
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