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Cognitive radio: SSDF attack and security
- 1 School of Communications and Information Engineering, Nanjing University of Posts and Telecommunication, Nanjing, 210003, China
- 2 School of Information Engineering, Wuhan University of Technology, Wuhan, 430070, China
- 3 Department of Electrical and Computer engineering, University of Washington, Seattle, 98195, USA
- 4 Ningbo Xiaoshi High School, Ningbo, 315000, China
* Author to whom correspondence should be addressed.
Abstract
Cooperative spectrum sensing can improve the performance of system detection, but when there are some malicious users in sensors, they will launch spectrum sensing data falsification attack, this is to say they send false sensing result, which will have a great influence on the final decision of fusion center and the primary user. Given that, this paper proposes a basic cooperative spectrum sensing algorithm based on reputation to defend malicious users and then improve that algorithm, advance a new algorithm-reputation weighted cooperative spectrum sensing algorithm.Verified by simulation, our algorithm has achieved the expected effect. The first algorithm can effectively resist attacks especially when the attack probability of malicious users is high. When malicious users are more intelligent, their attack probabilities are different from each other and are uncertain. At this time, the second algorithm can better improve the performance of the final decision of fusion center.
Keywords
SSDF attack, cooperative spectrum sensing algorithm based on reputation, reputation weighted, data fusion, detection probability.
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Cite this article
Song,L.;Shen,S.;Cao,Y.;Lyu,X. (2023). Cognitive radio: SSDF attack and security. Applied and Computational Engineering,2,196-205.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 4th International Conference on Computing and Data Science (CONF-CDS 2022)
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