A Primary User Emulation Attack Detection Scheme in Cognitive Radio Network with Mobile Secondary User

In this paper, the primary user emulation attack (PUEA) detection problem in the cognitive radio network (CRN) with mobile secondary user (SU) is investigated. We propose a hybrid PUEA detection method, in which two kinds of wireless channel characteristics between the transmitter and the receiver, the Doppler spread and the variance of the received signal power, are utilized to infer the source of the received signal. In the CRN with mobile SU, the Doppler spread between the SU and the primary user (PU) may differ from that between the SU and the primary user emulator (PUE) because of different relative velocities. However, the performance of the PUEA detection method based on Doppler spread may be affected the relative position between the SU and the PUE. In order to make the detection performance be unaffected the relative position between the SU and PUE, the variance of the received signal power is also used as the signature of the transmitter. The proposed PUEA detection method is validated by Monte Carlo simulations. Simulation results show that the performance of the proposed hybrid PUEA detection method is good with well-chosen parameters.