Detecting the Primary User Emulation Based on  SVDD in Cognitive Radio Networks

To resolve the problem that traditional primary user sensing technique cannot detect PUE (Primary User Emulation) attack in cognitive radio networks, a novel detecting technique is put forward that based on SVDD (Support Vector Date Description). Detecting PUE is modeled as a one-class imbalanced classified problem in this technique. Without PUE attack parameters, a one-class classifier is trained with legal users’ parameters by SVDD algorithm. Input the pending samples to the trained classifier, PUE will be detected. Analysis and simulation results show that, a lower false alarm probability and miss detection probability can be obtained.