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Lookup NU author(s): Yasir Al-Mathehaji,
Professor Said Boussakta,
Dr Martin Johnston
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Spectrum sensing data falsification (SSDF) is one of the most dangerous attacks that can degrade the reliabilityof collaborative spectrum sensing in cognitive radio (CR) networks. In this article, we propose a novel defense strategyto thwart SSDF attacks by intelligently verifying sensory data with the assistance of trusted nodes. The proposed schemeemploys an efficient and fast reputation-based algorithm to analyze the behavior of each user. Hence, not only will reliablesensory data be accepted by the central entity, but also, malicious users can be easily identified and removed fromthe network. Both theoretical and simulation results show that the proposed method provides a powerful countermeasureagainst SSDF attacks in an adversarial CR environment.
Author(s): Al-Mathehaji AY, Boussakta S, Johnston M, Harith F
Publication type: Article
Publication status: Published
Journal: IEEE Sensor Letters
Print publication date: 09/08/2017
Online publication date: 24/07/2017
Acceptance date: 19/07/2017
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