• DocumentCode
    533065
  • Title

    Study on ontology-based intrusion detection

  • Author

    Wei, Mingjun ; Xu, Guangli ; Chen, Xuebin ; Xu, Chaochun

  • Author_Institution
    Coll. of Sci., Hebei Polytech. Univ., Tangshan, China
  • Volume
    10
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Meeting distributed detection´s requirements of accuracy, expansibility and portability, ontology is introduced to organize and systematize all intrusion detection behavior at any level, consequently reducing ambiguity and supporting share. The paper presented ontology-based intrusion detection model with advantages of hierarchical and cooperative models, and then the deduction of expert system was used to detect the complex attacks.
  • Keywords
    expert systems; ontologies (artificial intelligence); security of data; distributed detection requirement; expert system; ontology based intrusion detection; Book reviews; Microstrip; Petroleum; classification of attacks; intrusion detection; ontology; privileged program;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5622757
  • Filename
    5622757
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=533065