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

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