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Defeating SSDF Attacks With Trusted Nodes Assistance in Cognitive Radio Networks

Lookup NU author(s): Yasir Al-Mathehaji, Professor Said Boussakta, Dr Martin JohnstonORCiD

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Abstract

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.

Publication metadata

Author(s): Al-Mathehaji AY, Boussakta S, Johnston M, Harith F

Publication type: Article

Publication status: Published

Journal: IEEE Sensor Letters

Year: 2017

Volume: 1

Issue: 4

Print publication date: 09/08/2017

Online publication date: 24/07/2017

Acceptance date: 19/07/2017

Publisher: IEEE

URL: https://doi.org/10.1109/LSENS.2017.2731623

DOI: 10.1109/LSENS.2017.2731623

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