Defence against primary user emulation attack using statistical properties of the cognitive radio received power

Cognitive radio (CR) is proposed to solve the spectrum scarcity problem. One of the significant issues which arises recently in CR networks is security threats. Most of the proposed methods to defend against the attacks need the previous knowledge about the system. In this study, the authors use the statistical characteristics of the users to address one of the important kinds of attacks called primary user emulation attack (PUEA). In the proposed scheme, the received power statistics of the CR users is used to detect the PUEA. The results show that their scheme has higher performance in detecting the primary transmission comparing with the previous works.