• DocumentCode
    228909
  • Title

    A taxonomy on intrusion alert aggregation techniques

  • Author

    Ahmed, Toufik ; Siraj, Maheyzah Md ; Zainal, Anazida ; Mat Din, Mazura

  • Author_Institution
    Inf. Assurance & Security Res. Group, Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2014
  • fDate
    26-27 Aug. 2014
  • Firstpage
    244
  • Lastpage
    249
  • Abstract
    As security threats advance in a drastic way, most of the organizations apply various intrusion detection systems (IDSs) to optimize detection and to provide comprehensive view of intrusion activities. But IDS produces huge number of duplicated alerts information that overwhelm security operator. Alert aggregation addresses this issue by reducing, fusing and clustering the alerts. Techniques from a different scope of disciplines have been proposed by researchers for different aspects of aggregation. In this paper we present a comprehensive review on proposed alert aggregation techniques. Our main contribution is to classify the literature based on the techniques applied to aggregate the alerts.
  • Keywords
    computer crime; pattern clustering; IDS; alert clustering; alert fusing; alert reducing; duplicated alerts information; intrusion activities; intrusion alert aggregation techniques; intrusion detection systems; organizations; security operator; security threats; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Genetic algorithms; Partitioning algorithms; Security; Taxonomy; IDS; alert aggregation; clustering; taxonomy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biometrics and Security Technologies (ISBAST), 2014 International Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4799-6443-7
  • Type

    conf

  • DOI
    10.1109/ISBAST.2014.7013129
  • Filename
    7013129