Mitigation of primary user emulation attack using a new energy detection method in cognitive radio networks

Abstract

A most promising solution to the expansion of spectrum efficiency is cognitive radio (CR) and this expansion is achieved by permitting the licensed frequency bands to be accessed by unlicensed secondary users (SUs) with a lack of interference with licensed primary users (PUs). This utilization of CR networks in the spectrum sensing causes vulnerable attacks like primary user emulation (PUE) attack and here PUs play the role of malicious user and do not permit other users to utilize PUs channel even in their unavailability. On the basis of the traditional single-threshold energy detection algorithm, a novel modified double-threshold energy detector is formulated in the CR network and the detection probability, miss detection probability, probability of false alarm, and their inter-relationship are analyzed. This paper develops a modified double threshold energy detection cooperative spectrum sensing technique to alleviate the PUE attack. Finally, performance-based evaluation is carried out between the proposed and the existing energy detection spectrum sensing method that had no consideration on PUE attack. The resultant of the simulation in MATLAB has revealed that the proposed model has significantly mitigated PUE attack by means of providing outstanding performance.

Keywords

cognitive radio / energy detection / spectrum sensing / probability of detection / false alarm probability / miss detection probability

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