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Joint Spectrum Sensing and Detection of Malicious Nodes via Belief Propagation

: Penna, F.; Sun, Y.; Dolecek, L.; Cabric, D.


IEEE Communications Society:
IEEE Global Telecommunications Conference, GLOBECOM 2011 : 5 - 9 Dec. 2011, Houston
Piscataway: IEEE, 2011
ISBN: 978-1-4244-9266-4
ISBN: 978-1-4244-9268-8
ISBN: 978-1-4244-9267-1
Global Telecommunications Conference <54, 2011, Houston/Tex.>
Fraunhofer HHI ()
Bayesian formulation; belief propagation; cognitive network

In this paper we address the problem of statistical spectrum sensing attacks, where misbehaving nodes falsify their sensing reports with a certain probability in order to artificially increase or reduce the throughput of a cognitive network. Instead of trying to identify unreliable nodes and exclude them from the decision process, we propose a novel approach where spectrum sensing and estimation of type/probability of the attacks are performed jointly. Our method is based on a Bayesian formulation and is implemented using belief propagation on factor graphs. The performance of the proposed method is then evaluated by analytical results and by simulations.