• DocumentCode
    2262265
  • Title

    Intrusion Alerts Correlation Model Based on XSWRL Ontology

  • Author

    Li, Wan ; Zhu, Yan ; Tian, ShengFeng

  • Author_Institution
    Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    894
  • Lastpage
    898
  • Abstract
    We propose a hierarchical compound alert correlation knowledge model which combines prerequisites and consequences of attacks and predefined attack scenarios, and introduces hierarchy to view security information from different levels. The model includes basic concepts and relationships that are extracted from attack knowledge. Then we propose an alert correlation ontology frame which bases on our hierarchical compound alert correlation knowledge model. Some basic classes and properties are defined in the ontology frame. After extending those basic classes and properties in our ontology frame according to attack scenarios, we get a practical alert correlation ontology knowledgebase. Finally we illustrate how to represent our hierarchical compound alert correlation knowledge model using our XSWRL ontology.
  • Keywords
    ontologies (artificial intelligence); security of data; XSWRL ontology; correlation knowledge model; intrusion alerts correlation model; Application software; Computer security; Data mining; Information security; Information technology; Intrusion detection; OWL; Ontologies; Semantic Web; Taxonomy; alerts correlation; intrusion detection; knowledge model; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.412
  • Filename
    4739700