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Panacea: Automating Attack Classification for Anomaly-based Network Intrusion Detection Systems
Bolzoni, Damiano and Etalle, Sandro and Hartel, Pieter (2009) Panacea: Automating Attack Classification for Anomaly-based Network Intrusion Detection Systems. [Report]
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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: | Report |
| Faculty: | Electrical Engineering, Mathematics and Computer Science (EEMCS) |
| Research Group: | |
| Link to this item: | http://purl.utwente.nl/publications/65446 |
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