Streaming Estimation of Information-theoretic Metrics for Anomaly Detection (Extended Abstract)
[bratus:streaming-poster]Sergey Bratus, Joshua Brody, David Kotz, and Anna Shubina. Streaming Estimation of Information-theoretic Metrics for Anomaly Detection (Extended Abstract). Proceedings of the International Symposium on Recent Advances in Intrusion Detection--- Posters, volume 5230 in Lecture Notes in Computer Science, pages 412–414. Springer-Verlag, Cambridge, MA, September 2008. doi:10.1007/978-3-540-87403-4_32. ©Copyright Springer.
Information-theoretic metrics hold great promise for modeling traffic and detecting anomalies if only they could be computed in an efficient, scalable ways. Recent advances in streaming estimation algorithms give hope that such computations can be made practical. We describe our work in progress that aims to use streaming algorithms on 802.11a/b/g link layer (and above) features and feature pairs to detect anomalies.
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Keywords: [security] [wifi]
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