Title: Signal technique for friend or foe detection of intelligent malicious user in cognitive radio network

Authors: Saifur Rahman Sabuj; Masanori Hamamura

Addresses: Department of Electrical and Electronic Engineering, BRAC University, Dhaka 1212, Bangladesh ' Graduate School of Engineering, Kochi University of Technology, Kami-shi 782-8502, Japan

Abstract: In cognitive radio networks, security issues arise when intelligent malicious users can attack and decrease the permitted channel for unlicensed users (secondary users). In this paper, we propose a novel scheme, based on friend or foe (FoF) detection technique with physical layer network coding, to enable discrimination between secondary users and intelligent malicious users. Theoretical expressions are derived for probabilities of detection of secondary user, miss detection, and false alarm. In addition, the effectiveness of the proposed approach is evaluated by theoretical analysis and Monte Carlo simulation. Furthermore, an algorithm is proposed for distinguishing between secondary user and intelligent malicious user. Finally, based on the outcome of simulation of probabilities and normalised cross-correlation, it is determined that the proposed scheme outperforms in terms of orthogonal frequency-division multiplexing (OFDM) signal compared with quadrature phase-shift keying (QPSK) signal over cognitive radio network.

Keywords: cognitive radio network; friend or foe detection; physical-layer network coding; cross-correlation.

DOI: 10.1504/IJAHUC.2019.101821

International Journal of Ad Hoc and Ubiquitous Computing, 2019 Vol.32 No.1, pp.29 - 42

Received: 24 Dec 2016
Accepted: 15 Dec 2017
Published online: 28 Aug 2019 *

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