A Hybrid Scheme for Localizing Rogue Secondary User in a Mobile Cognitive Radio Network

Abstract

This paper presents a novel approach for localizing a Primary User (PU) emulator using a hybrid of the received signal strength indicator (RSSI) and the angle of arrival (AOA) methods. This was conceived to address the problem of primary user emulation (PUE) attack in Cognitive Radio (CR). A PUE attack occurs when a rogue Secondary user (RSU) mimics the spectral characteristics of a Primary user (PU) signal for selfish or malicious purpose. Hence, our hybrid scheme relies on the power received from the RSU to compute the distance between the RSU and Secondary User (SU) and the angle the SU makes with the RSU, which gives the exact location of the RSU. The simulation results further validate that our method effectively outperforms both individual techniques.