Abstract
A critical problem with Cooperative Spectrum Sensing in Cognitive Radio Network is the presence of Malicious Users (MUs) reporting false information to the Fusion Centre (FC) about the Primary User (PU) spectrum availability. This paper outline different techniques to mitigate the damaging effects of the false sensing in Soft Decision Fusion (SDF) schemes using One-to-Many Sensing-Distances and Z-Score. FC employs these schemes to separate the sensing information received from MUs and Secondary Users and feed the results to the Hampel’s test for MUs detection. After segregating all potential MUs FC takes a final decision about the availability of PU spectrum using the proposed SDF schemes. The suggested scheme is tested in an environment of opposite, random opposite, always yes and always no types of MUs. Simulation results demonstrate the superiority of the proposed scheme, which surpass the existing SDF schemes in reliability, precision and efficiency.
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