• DocumentCode
    255158
  • Title

    Data mining based on intrusion detection system and attack ontologiess

  • Author

    Banaei, S. ; Javanmard, M.

  • Author_Institution
    PNU, Tehran, Iran
  • fYear
    2014
  • fDate
    27-29 May 2014
  • Firstpage
    32
  • Lastpage
    32
  • Abstract
    Nowadays, by spreading the usage of the Internet, having a secure communication channels for providing a safe network, is needed. Firewalls are not sufficient enough to prevent attacks among computer networks, because internal attacks are incontrollable. For prevention of these internal attacks, unauthorized intrusion detection systems will be used to secure the network. In this paper, firstly, we define data mining methods, and then we look through various attacks and intrusion detections, and base on these matters, we discuss a data mining-based method for network intrusion detection and attack ontologies.
  • Keywords
    authorisation; computer crime; computer network security; data mining; ontologies (artificial intelligence); Internet usage; attack ontologies; attacks prevention; computer networks; data mining methods; internal attacks; network intrusion detection; network security; safe network; secure communication channels; unauthorized intrusion detection systems; Ontologies; Attacks; Computer Networks; Data Mining; Intrusion Detection; Ontology; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Knowledge Technology (IKT), 2014 6th Conference on
  • Conference_Location
    Shahrood
  • Print_ISBN
    978-1-4799-5658-6
  • Type

    conf

  • DOI
    10.1109/IKT.2014.7030328
  • Filename
    7030328