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This paper considers the problem of cooperative spectrum sensing (CSS) in the censoring-enabled Cognitive Radio Networks (CRNs) with a crowd of battery-powered Secondary Users (SUs), where only significant local observations are submitted to the Fusion Center (FC). However, in order to monopolize the spectrum usage or disrupt the networks operation, malicious SUs may try to send falsified sensing...
Spectrum sensing data falsification (SSDF) attack are serious threats to collaborative spectrum sensing (CSS) of cognitive radio networks (CRNs). In this paper, inspired by EM (Expectation Maximization) method, we propose a scheme to estimate the presences of primary user (PU) and the SUs' operating point parameters (false alarm and detection probabilities) iteratively. The key features of the proposed...
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