A Novel Chaotic Communication based Test Signal Approach for Identification of Primary User Emulation Attack in Cognitive Radio Networks

Abstract

Abstract:In this paper, a novel method for detection of Primary User Emulation Attack (PUEA) by tagging (adding tag bits) a test signal in chaotic communication is proposed. The tagged test signal is masked by the secondary user using Lorenz chaotic attractor and sent over the channel. However, it doesn't interfere with test signals of other secondary users. The Bit Error Rate (BER) analysis of the received test signal indicates whether the channel is free or is under PUEA. If the BER of the received signal is above the set threshold then it indicates an attack. Moreover, for the first time the concept of test signal to identify whether the channel is occupied by the primary user or an attacker is proposed. It is further suggested to compare the result of the proposed method with the database provided by Spectrum Bridge Inc. (SBI). It is worth mentioning here that the proposed method has made the use of the centralized control approach employed by the Federal Communications Commission (FCC) to combat PUEA. Simulation results in terms of the BER have been analysed and compared with other existing methods to show the efficacy of the proposed method.

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