Title: On a secured channel selection in cognitive radio networks
Authors: Asma Amraoui
Addresses: Laboratory of Telecommunications Tlemcen (LTT), University of Tlemcen, Tlemcen, Algeria
Abstract: Cognitive radio is a technology that improves the use of the radio spectrum by allowing opportunistic exploitation of the wireless spectrum. In this paper, we are interested in securing the cognitive radio network against the primary user emulation (PUE) attack. Firstly, our work is concerned with securing the cognitive radio network, by proposing two methods: secure CR and optimal CR using a multi criteria decision-making (MCDM) algorithm to choose the best offer and another algorithm which is blowfish for the authentication. Secondly, we proposed a method using machine learning. After a comparative study, we found that the secure CR algorithm is more efficient in response time, and is secured, but it does not give the best offer. On the other hand, the optimal CR algorithm is less efficient than the first, optimal and gives a better result.
Keywords: cognitive radio; multi criteria decision making; MCDM; machine learning; security; PUE attack.
International Journal of Information and Computer Security, 2022 Vol.18 No.3/4, pp.262 - 277
Received: 06 May 2019
Accepted: 10 Feb 2020
Published online: 05 Sep 2022 *