Eigenvalue detection based method to mitigate PUEA in cognitive radio networks

Cognitive radio (CR) is a promising technology in order to solve the spectrum scarcity problem by allocating the spectrum dynamically to the unlicensed users. However, it is also vulnerable to various attacks, and can not offer sufficient defense towards its security. Primary user emulation attack (PUEA) is one of the major threats to CR which significantly reduces the spectrum resources for the secondary users. In this paper, we propose the energy with minimum eigenvalue (EME) detection based method to mitigate PUEA through less spatial correlated secondary users (SUs). The SUs are selected based on their spatial correlation characteristics in log-normal shadow fading environment. Hence, the detection performance is improved. Simulation results show that our proposed method mitigates the PUEA effectively with lesser number of SUs.