Attack-proof collaborative spectrum sensing in cognitive radio networks

Wenkai Wang, Husheng Li, Yan Sun, Zhu Han
2009 2009 43rd Annual Conference on Information Sciences and Systems  
Collaborative sensing in cognitive radio networks can significantly improve the probability of detecting the transmission of primary users. In current collaborative sensing schemes, all collaborative secondary users are assumed to be honest. As a consequence, the system is vulnerable to attacks in which malicious secondary users report false detection results. In this paper, we investigate how to improve the security of collaborative sensing. Particularly, we develop a malicious user detection
more » ... lgorithm that calculates the suspicious level of secondary users based on their past reports. Then, we calculate trust values as well as consistency values that are used to eliminate the malicious users' influence on the primary user detection results. Through simulations, we show that even a single malicious user can significantly degrade the performance of collaborative sensing. The proposed trust value indicator can effectively differentiate honest and malicious secondary users. The receiver operating characteristic (ROC) curves for the primary user detection demonstrate the improvement in the security of collaborative sensing.
doi:10.1109/ciss.2009.5054704 dblp:conf/ciss/WangLSH09 fatcat:jx5t74cqpjcitgf52rvixdf5r4