Rouil, R.
, Chevrollier, N.
and Golmie, N.
(2005),
Unsupervised Anomaly Detection System Using Next-Generation Router Architecture, IEEE Military Communications Conference MILCOM 2005, Atlantic City, NJ, USA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=150114
(Accessed April 20, 2024)
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Unsupervised Anomaly Detection System Using Next-Generation Router Architecture
Published
Author(s)
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Abstract
Unlike many intrusion detection systems that rely mostly on labeled training data, we propose a novel technique for anomaly detection based on unsupervised learning and we apply it to counter denial-of-service attacks. Initial simulation results suggest that significant improvements can be obtained. We then discuss an implementation of our anomaly detection system in the ForCES router architecture and evaluate it using attack traffic.Proceedings Title
IEEE Military Communications Conference MILCOM 2005
Conference Dates
October 17-20, 2005
Conference Location
Atlantic City, NJ, USA
Pub Type
Conferences
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Citation
Created September 30, 2005, Updated October 12, 2021