%0 Journal Article %A HUANG Yi-jie %A LIN Hui %A XU Li %T Reputation Model for Distributed Collaborate Spectrum Sensing %D 2015 %R 10.13190/j.jbupt.2015.04.012 %J Journal of Beijing University of Posts and Telecommunications %P 55-59 %V 38 %N 4 %X

Collaborative spectrum sensing can greatly improve the effect of the spectrum sensing in cognitive 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 malicious 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 identify 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.

%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2015.04.012