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16130 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. In: Recent Advances in Intrusion Detection (RAID). pp. 1-20. Lecture Notes in Computer Science 5758. Springer Verlag. ISBN 978-3-642-04341-3

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Official URL: http://dx.doi.org/10.1007/978-3-642-04342-0_1

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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:Conference or Workshop Paper (Full Paper, Talk)
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 classification, anomaly-based intrusion detection systems
ID Code:16130
Status:Published
Deposited On:10 October 2009
Refereed:Yes
International:Yes
More Information:statisticsmetis

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