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Bolzoni, D. and Etalle, S. and Hartel, P.H. (2009) Panacea: Automating Attack Classification for Anomaly-based Network Intrusion Detection Systems. Technical Report TR-CTIT-09-10, Centre for Telematics and Information Technology University of Twente, Enschede. ISSN 1381-3625
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Anomaly-based intrusion detection systems are usually criticized because they lack a classication of attack, thus security teams have to manually inspect any raised alert to classify it. We present a new approach, Panacea, to automatically and systematically classify attacks detected by an anomaly-based network intrusion detection system.
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