Analysis of an approach to reducing drops of secondary user on primary user emulation attack

Abstract

In this paper, we propose a method for a Cognitive Radio Network (CRN) to reduce the drop probability of Secondary User (SU) due to the Primary User Emulation Attack (PUEA) of Malicious User (MU). Instead of abandoning the current channel, a novel method called a Pause Approach is used if Primary User (PU) or MU accesses the same channel. This method helps SU to find the attack behaviour of MU and increases the network throughput performance. Also, we analyse the channel states with a Continuous Time Markov Chain (CTMC). The simulation results validate the proposed method based on Matlab.