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15424 Panacea: Automating Attack Classification for Anomaly-based Network Intrusion Detection Systems
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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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Abstract

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.

Item Type:Internal Report (Technical Report)
Research Group:EWI-DIES: Distributed and Embedded Security
Research Program:CTIT-ISTRICE: Integrated Security and Privacy in a Networked World
Research Project:IPID: Integrated Policy-based Intrusion Detection
Additional Information:The work is patent pending.
Uncontrolled Keywords:attack classication, anomaly-based intrusion detection systems
ID Code:15424
Deposited On:19 June 2009
More Information:statisticsmetis

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