Securing Collaborative Spectrum Sensing against Untrustworthy Secondary Users in Cognitive Radio Networks



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EURASIP Journal on Advances in Signal Processing


Cognitive radio is a revolutionary paradigm to migrate the spectrum scarcity problem in wireless networks. In cognitive radio networks, collaborative spectrum sensing is considered as an effective method to improve the performance of primary user detection. For current collaborative spectrum sensing schemes, secondary users are usually assumed to report their sensing information honestly. However, compromised nodes can send false sensing information to mislead the system. In this paper, we study the detection of untrustworthy secondary users in cognitive radio networks. We first analyze the case when there is only one compromised node in collaborative spectrum sensing schemes. Then we investigate the scenario that there are multiple compromised nodes. Defense schemes are proposed to detect malicious nodes according to their reporting histories. We calculate the suspicious level of all nodes based on their reports. The reports from nodes with high suspicious levels will be excluded in decision-making. Compared with existing defense methods, the proposed scheme can effectively differentiate malicious nodes and honest nodes. As a result, it can significantly improve the performance of collaborative sensing. For example, when there are 10 secondary users, with the primary user detection rate being equal to 0.99, one malicious user can make the false alarm rate increase to 72%. The proposed scheme can reduce it to 5%. Two malicious users can make increase to 85% and the proposed scheme reduces it to 8%.



Primary User, False Alarm Rate, Secondary User, Cognitive Radio Network, Malicious Node


Copyright 2009 EURASIP Journal on Advances in Signal Processing. Recommended citation: Wang, Wenkai, Husheng Li, Yan Lindsay Sun, and Zhu Han. "Securing collaborative spectrum sensing against untrustworthy secondary users in cognitive radio networks." EURASIP Journal on Advances in Signal Processing 2010, no. 1 (2009): 695750. DOI: URL: Reproduced in accordance with the original publisher's licensing terms and with permission from the author(s).