Cancellation of Interference and Malicious User in Cognitive Radio

Background: Cognitive Radio Networks (CRN), one of the emerging technologies in the wireless communication domain, is primarily used for spectrum sensing and proper allocation of the unused licensed bands to the Secondary Users (SU) without producing any intervention to the Primary user (PU) in a dynamic manner. However, security to the physical layer becomes a major problem here. Security pressures in a cognitive radio network are taken into consideration. Method: The performance of the Primary User Emulation Attack (PUEA) from the Neyman-Pearson criterion’s perspective has been analysed. In addition, the work also proposes an enhanced interference elimination method to diminish the interference between the cognitive users and others operating in the same wireless environment. Result: The results are plotted using MATLAB. Simulation results show improved interference cancellation between the cognitive user and primary user. Application: Data transfer to remote places utilizing the spectrum that remains idle or underutilized.