Detection & Defensive Approach for Primary User Emulation Attacking Cognitive Radio Network

Abstract

Abstract Cognitive Radio Network (CRN) is the future scope wireless technology that aims to enhance the spectrum utilization. It meets out the increasing demand in spectrum access by all possible wireless applications and services. Security is an important issue but not focused much in CRN. In this research, the detection and defensive approach for Primary User Emulation Attack (PUEA) is presented. In order to secure cognitive radio network against PUEA, two level of detection algorithm is proposed. Energy detection with three threshold value and localization technique is used to detect the attackers. To enhance the Quality of Service (QoS) of the Secondary Users (SU), guard channel is allocated to the secondary user by the fusion center. This process is carried out whenever the communication between the SUs is intervened by the licensed primary user or an attacker.