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MAC Based Energy Efficiency in Cooperative Cognitive Radio Network in the Presence of Malicious Users

Dai, J., Liu, j., Pan, C., Wang, Jiangzhou, Cheng, C., Huang, Z. (2018) MAC Based Energy Efficiency in Cooperative Cognitive Radio Network in the Presence of Malicious Users. IEEE Access, 6 . pp. 5666-5677. ISSN 2169-3536. (doi:10.1109/ACCESS.2018.2793906)

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Official URL
http://dx.doi.org/10.1109/ACCESS.2018.2793906

Abstract

In cognitive radio networks, cooperative spectrum sensing (CSS) is generally adopted for improving spectrum sensing accuracy to increase spectrum utilization and avoid interference with the primaryusers.However,somemalicioussecondaryusers(SUs)mayaffecttheCSSperformancebyinducing false observation bits for fusion. The message authentication code (MAC) is a promising technique to avoid the damage from the spectrum sensing data falsi?cation (SSDF) attacks. In this paper, as both the more spectrum sensing nodes and the MAC reporting bits result in extra energy consumption, we propose an energy ef?ciency model to capture the effects of the length of MAC and the number of cooperative SUs under independent and collaborative SSDF attacks, respectively, and analyze the existence of the optimal length of MAC and the optimal number of cooperative SUs that can achieve the maximum value of energy ef?ciency, respectively. Simulation results are provided to show that the CSS scheme based on MAC can resist SSDF attacks and the accuracy of the theoretical analysis is also validated.

Item Type: Article
DOI/Identification number: 10.1109/ACCESS.2018.2793906
Uncontrolled keywords: Cooperative spectrum sensing, spectrum sensing data falsi?cation(SSDF)attack, message authentication code, energy ef?ciency
Subjects: T Technology
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunications > TK5103.4 Broadband (inc wireless broadband)
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Broadband & Wireless Communications
Depositing User: Jiangzhou Wang
Date Deposited: 08 Mar 2018 20:40 UTC
Last Modified: 09 Jul 2019 11:46 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/66326 (The current URI for this page, for reference purposes)
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