A Novel System Modeling for Investigating Security Challenges in Cognitive Radio Networks.

As wireless communication increases day by day the available spectrum becomes scarcer as the demand for spectrum usage increasing day by day for all wireless applications. The major cause is significant amount of the spectrum leads to underutilization. To mitigate this problem effective utilization of spectrum is must. For this Cognitive Radio (CR) was introduced. Cognitive Radio enables secondary users to sense which portions of the spectrum are available, select best available channel, coordinate spectrum access with other users and vacate the channel when a primary user reappears for spectrum usage rights. If the spectrum is utilizing by malicious user instead of secondary user it is primary user emulsion attack (PUEA). So that the problem of spectrum misuse arises. We proposed a novel system with maximum likelihood criterion to mitigate the problem of spectrum misuse. Maximum Likelihood based analysis to detect PUEA in fading wireless channels in the presence of multiple randomly located malicious users. We show that the proposed model can achieve a probability of successful PUEA less than that obtained by existing model with Neyman-Pearson criterion.