Pattern recognition approach for anomaly detection of web-based attacks

Aruna Jamdagni, Zhiyuan Tan, Ren Ping Liu, Priyadarsi Nanda, Xiangjian He

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    Abstract

    ![CDATA[The universal use of the Internet has made it more difficult to achieve high security. Attackers target web applications instead of Telnet ports. Cyber-attacks and breaches of information security are increasing in frequency. The goal of Intrusion Detection Systems (lDSs) is to monitor network traffic and detect web-based attacks. Common lDSs are either signature based or anomaly based. Signature based IDS is unable to detect novel attack (i.e., zero-day) or polymorphic attacks, until the signature database is updated. On the other hand, an anomaly-based IDS can detect new attacks and polymorphic attacks. However, anomaly based system has a relatively high number of false positives.]]
    Original languageEnglish
    Title of host publicationProceedings of the Seventh Annual CSIRO ICT Centre Science and Engineering Conference: 10-11 November 2010, Australian Technology Park, Eveleigh, NSW, Australia
    PublisherCSIRO
    Number of pages2
    ISBN (Print)9780643101647
    Publication statusPublished - 2010
    EventCSIRO ICT Centre Science and Engineering Conference -
    Duration: 10 Nov 2010 → …

    Conference

    ConferenceCSIRO ICT Centre Science and Engineering Conference
    Period10/11/10 → …

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