Detection of Primary User Emulation Attack Using the Differential Evolution Algorithm in Cognitive Radio Networks

Abstract

Cognitive Radio Network (CRN) is an emerging technology used to solve spectrum shortage problems in wireless communications. In CRN, unlicensed secondary users (SUs) and licensed primary users (PUs) use spectrum resources at the same time by avoiding any interference from SUs. However, the spectrum sensing process in CRN is often disturbed by a security issue known as the Primary User Emulation Attack (PUEA). PUEA is one of the main security issues that disrupt the whole activity of CRN. The attacker transmits false information to interrupt the spectrum sensing process of CRN, which leads to poor usage of the spectrum. The proposed study uses a proficient Time Difference of Arrival (TDOA) based localization method using the Differential Evolution (DE) algorithm to identify the PUEA in CRNs. The DE algorithm is used to solve the objective function of TDOA values. The proposed methodology constructs a CRN and identifies PUEA. The proposed method aims to sense and localize PUEA efficiently. Mean Square Error (MSE) is the performance evaluation parameter that is used to measure the accuracy of the proposed technique. The results are compared with the previously proposed Firefly optimization algorithm (FA). It is clear from the results that DE converges faster than FA.

KCS 2 TM: A key sharing approach and Deep Learning Model for Primary User Emulsion Attack detection in Cognitive Radio Networks

“…In the event of training, there were no correlation found between the trained samples and the detection performance and also, the SVM model only improved and rest remained the same. Rehna Batool, et al [5] developed Proficient Time Difference of Arrival (TDOA) with Differential Evolution (DE) algorithm for PUEA detection, compared to Firefly optimization algorithm (FA), the DE model improved the performance speed and efficiency. But this approach was only applicable for fixed PU, SU and the attacker, not possible for two or more attackers.…”

“…• The Proficient Time Difference of Arrival (TDOA) with Differential Evolution (DE) algorithm was only applicable for fixed PU, SU and the attacker, not possible for two or more attackers [5].…”

“…Mostly, the CRN has been utilized for wireless communication, in which provide effective and active frequency access [4] [5]. The CRN permit spectrum frequency to the SU, when PU does not need required access.…”

“…The CRN plays natal role in various source and applications mainly in internet of things (IoT) and other development which holds multiple network to access the key features during the communication and prevent the PUEA [10] [5].…”

PUE Attack Detection by Using DNN and Entropy in Cooperative Mobile Cognitive Radio Networks

“…In mobile networks, for example, there are time slots where the spectrum frequencies are unused, partly because their assignment is fixed by the regulatory entities in a traditional spectrum management system, giving the operators flexibility in their usage. However, if we were to implement the CRN, it would be crucial to acknowledge the accompanying security threats, including both traditional risks and those arising from the SU's random access to free channels for its own purposes [2].…”