Abstract
Cognitive Radio Network (CRN) nodes called the Cognitive Radio (CR) nodes, sense the presence of a Primary User (PU) activity. The sensing reports from all the CR nodes are sent to a Fusion Centre (FC) which aggregates these reports and takes decision about the presence of the PU, based on some decision rules. Such a collaborative sensing mechanism forms the foundation of any centralised CRN. However, this approach can be misused by malicious Secondary Users (SUs) by carrying out Spectrum Sensing Data Falsification (SSDF) attacks. SSDF attacks which invade the CRN during spectrum sensing phase can affect the global decision of spectrum occupancy and thus, degrade the overall performance of a CRN. In this paper, a threshold-based detection strategy, CODES, is proposed for detection of SSDF attacks. Simulation results show successful detection of malicious SUs across a range of SSDF attacks.
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