Addressing the Effects of the Spectrum Sensing Data Falsification Attack Using the Enhanced Q-out-of-m Rule.

The spectrum sensing data falsification (SSDF) attack modifies the energy values received from the primary users (PUs). During cooperative spectrum sensing (CSS), it reports the incorrect data to its neighbouring secondary users (SUs). CSS is conducted by SUs which perform local sensing and then share observed data to achieve distributed global sensing. In this study, the effects of SSDF in cognitive radio ad hoc network (CRAHN) are evaluated. The enhanced q-out-of-m rule scheme is proposed to address the effects of SSDF in CRAHN. The proposed scheme was evaluated in MATLAB and the simulation results show that it outperformed the DBSD scheme.