Panacea : Automating attack classification for anomaly-based network intrusion detection systems

D. Bolzoni, S. Etalle, P.H. Hartel

Research output: Book/ReportReportAcademic

Abstract

Anomaly-based intrusion detection systems are usually criticized because they lack a classification 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.
Original languageEnglish
Place of PublicationEnschede
PublisherUniversiteit Twente
Number of pages21
Publication statusPublished - 2009

Publication series

NameCTIT Technical Report
VolumeTR-CTIT-09-10

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    Bolzoni, D., Etalle, S., & Hartel, P. H. (2009). Panacea : Automating attack classification for anomaly-based network intrusion detection systems. (CTIT Technical Report; Vol. TR-CTIT-09-10). Universiteit Twente.