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- Title
Malicious User Suppression Based on Kullback-Leibler Divergence for Cognitive Radio.
- Authors
Hiep-Vu Van; Insoo Koo
- Abstract
Cognitive radio (CR) is considered one of the most promising next-generation communication systems; it has the ability to sense and make use of vacant channels that are unused by licensed users. Reliable detection of the licensed users' signals is an essential element for a CR network. Cooperative spectrum sensing (CSS) is able to offer better sensing performance as compared to individual sensing. The presence of malicious users who falsify sensing data can severely degrade the sensing performance of the CSS scheme. In this paper, we investigate a secure CSS scheme, based on the Kullback-Leibler Divergence (KL-divergence) theory, in order to identify malicious users and mitigate their harmful effect on the sensing performance of CSS in a CR network. The simulation results prove the effectiveness of the proposed scheme.
- Subjects
TELECOMMUNICATION systems; WIRELESS communications; STREAMING video &; television; COGNITIVE analysis; WIRELESS sensor networks
- Publication
KSII Transactions on Internet & Information Systems, 2011, Vol 5, Issue 6, p1133
- ISSN
1976-7277
- Publication type
Article
- DOI
10.3837/tiis.2011.06.003