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

D. Bolzoni, Sandro Etalle, Pieter H. Hartel

    Research output: Book/ReportReportOther research output

    91 Downloads (Pure)


    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.
    Original languageUndefined
    Place of PublicationEnschede
    PublisherCentre for Telematics and Information Technology (CTIT)
    Number of pages21
    Publication statusPublished - 2009

    Publication series

    PublisherCentre for Telematics and Information Technology, University of Twente
    ISSN (Print)1381-3625


    • IR-65446
    • Attack classication
    • anomaly-based intrusion detection systems

    Cite this