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In this paper we present a method to diagnose and mitigate against primary user emulation attacks (PUEA) in cognitive radio networks. We develop a hybrid algorithm that uses a combination of compressed sensing and belief propagation to identify and combat PUEAs. We propose to use compressive sensing at the fusion centre to localise a primary user, then distribute the primary user location to secondary...
Compressive Sensing (CS) framework is mathematical framework to recover the signal by having less measurement data compared to Shannon-Nyquist theorem. It indicates the underdetermined linear system where the dimension of measurement data is much lower compared to dimension of the projected data. The basic idea of CS is to shift the sensing load into image reconstruction load. Thus, even though the...
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