Abstract

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.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call