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Effective and robust detection of jamming attacks

, , and . Future Network and MobileSummit 2010 Conference Proceedings, page 1-8. (2010)

Abstract

In this paper we present and evaluate anomaly-based intrusion detection algorithms for detecting attacks at the physical layer of wireless networks, by seeking for changes in the Signal-to-Noise ratio statistical characteristics. Two types of algorithms are proposed: simple threshold algorithms and cumulative sum (cusum) algorithms. Performance evaluation is performed in terms of the detection probability, false alarm rate, detection delay and the robustness of the algorithms to different detection threshold values. The algorithms are applied locally to measurements collected from three locations of an experimental network and under two attac…(more)

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IEEE Xplore - Effective and robust detection of jamming attacks

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