A novel system model for detecting primary user emulation attack in cognitive radio networks

Abstract

The recent advances in wireless communication have addressed the problem of spectrum scarcity. The available wireless spectrum has become insufficient due to the increasing spectrum demand. The largest portion of the allocated spectrum is periodically used that guides to the underutilisation of the spectrum. The idea of Cognitive Radio (CR) technology is introduced to improve the spectrum efficiency. This concept provides a solution for the issue of spectrum demand in wireless networks. Owing the security issues, the CR network poses new challenges in wireless communications. In this article, a Primary User Emulation (PUE) attack is studied from the Neyman-Pearson criterion point of view and a novel system is proposed to overcome the PUE attack. A novel system model contains a different configuration of Primary Users (PUs) which is proposed and studied. The novel system model with maximum likelihood criterion will solve the PUE attack issues as efficiently as possible. The experimental result shows the characteristics of the false alarm and missed detection probability, during the implementation of the proposed system.