Security aspects in cognitive radio networks detection and mitigation of primary user emulation attacks

Cognitive Radio Networks (CR) is an advanced growing technique and a promising technology for the upcoming generation of the wireless networks. Deployment of such networks is hindered by the vulnerabilities that these networks are exposed to, in this paper we focus on security problems arising from Primary User Emulation Attacks (PUEA) in CR networks. We study the impact of this attack on CR networks, detection and defense approaches. We have setup the system model using Matlab software; the Neyman-Pearson composite hypothesis test NPCHT is used to obtain the hypothesis test and detect the PUEA. Simulation results proved that using NPCHT it is possible to keep the probability of successful PUEA low, and this depends on the threshold values; the number of malicious users in the system can significantly increase the probability of false alarm in the network, Also it shows that there is a range of network radii in which PUEA are most successful