Document Type
Conference Paper
Publication Date
9-2008
Publication Title
Proceedings of the 11th International Symposium on Recent Advances in Intrusion Detection— Posters
Department
Department of Computer Science
Abstract
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.
DOI
10.1007/978-3-540-87403-4_32
Original Citation
Sergey Bratus, Joshua Brody, David Kotz, and Anna Shubina. Streaming Estimation of Information-theoretic Metrics for Anomaly Detection (Extended Abstract). In Proceedings of the 11th International Symposium on Recent Advances in Intrusion Detection— Posters, September 2008. 10.1007/978-3-540-87403-4_32
Dartmouth Digital Commons Citation
Bratus, Sergey; Brody, Joshua; Kotz, David; and Shubina, Anna, "Streaming Estimation of Information-Theoretic Metrics for Anomaly Detection (Extended Abstract)" (2008). Dartmouth Scholarship. 3369.
https://digitalcommons.dartmouth.edu/facoa/3369
