IEEE 802.22: the first cognitive radio wireless regional area network standard
IEEE Communications Magazine
Detecting primary user emulation attacks in dynamic spectrum access networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
A Spectrum Decision Framework for Cognitive Radio Networks
IEEE Transactions on Mobile Computing
IEEE Transactions on Wireless Communications
End-to-end protocols for Cognitive Radio Ad Hoc Networks: An evaluation study
Performance Evaluation
Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks
IEEE Transactions on Wireless Communications
A survey on spectrum management in cognitive radio networks
IEEE Communications Magazine
Defense against Primary User Emulation Attacks in Cognitive Radio Networks
IEEE Journal on Selected Areas in Communications
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In Cognitive Radio Ad Hoc Networks (CRAHNs), malicious Secondary Users can exploit CR (Cognitive Radio) capabilities to perform Primary User Emulation Attacks (PUEA). These attacks pretend the transmission of a Primary User (PU), giving to malicious users the priority of using licensed frequencies over well-behaved unlicensed Secondary Users (SU). Since CRAHNs are envisioned as a solution for the frequency spectrum underutilization, PUEA is a threat, compromising these networks operation and easily resulting in Denial of Services (DoS). While the state of the art has focused on evolving architectural design issues (i.e. centralized non-cooperative to decentralized cooperative schemes) another key design aspect was left behind: the decision criterion, which is typically assumed as unique metric (e.g. the received signal power). To fill this gap, we propose INCA, a novel multIple criteria scheme for the deceNtralized and Cooperative Analysis of the PUEA presence in CRAHNs. INCA follows two phases. On the first, each SU employs multiple criteria to define a hypothesis about the potential existence of attacks; whereas on the second, these hypotheses are exchanged among neighbors, and each SU employs the Bayes theorem to calculate the final probability of a PUEA. Simulation results show the improvement and effectiveness of the multi-criteria approach.