Comprehensive survey on security challenges and solutions in cognitive radio networks
Department of Computer Science and Software Engineering, Jaramogi Oginga Odinga University of Science and Technology, 40601, Bondo.
Research Article
Global Journal of Engineering and Technology Advances, 2024, 21(01), 001–037.
Article DOI: 10.30574/gjeta.2024.21.1.0177
Publication history:
Received on 08 August 2024; revised on 27 September 2024; accepted on 29 September 2024
Abstract:
Cognitive Radio (CR) technology offers dynamic spectrum access, allowing for more efficient use of the radio frequency spectrum. While this innovation addresses spectrum scarcity, it introduces significant security and privacy concerns. This paper examines key vulnerabilities in cognitive radio networks (CRNs), including spectrum sensing data falsification, primary user emulation attacks, and denial-of-service attacks, which exploit the adaptive and opportunistic nature of CR systems. In addition, privacy challenges arise from the frequent sharing of location, identity, and spectrum usage data. This paper explores existing security frameworks, mitigation strategies, and privacy-preserving techniques, emphasizing the need for robust cryptographic methods, trust management, and real-time intrusion detection systems. The paper concludes by identifying open research areas that need attention to develop secure, resilient CRNs while preserving user privacy.
Keywords:
Cognitive Radio Networks; Spectrum Sensing; Attacks; Security Vulnerabilities; Privacy Preservation; Intrusion Detection Systems.
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0