• DocumentCode
    3074646
  • Title

    Intrusion Detection System Research Based on Data Mining for IPv6

  • Author

    Jun, Chen ; Xiaowei, Chen

  • Author_Institution
    Coll. of Comput. Sci. & Inf., Guizhou Univ., Guiyang, China
  • Volume
    1
  • fYear
    2010
  • fDate
    16-18 July 2010
  • Firstpage
    384
  • Lastpage
    388
  • Abstract
    IPv6 will inevitably take the place of IPv4 as the next generation of the Internet Protocol. Despite IPv6 has better security than IPv4, but there still have some security issues. So it is an urgent problem to requirement of IDS for IPv6 networks. Many intelligent information processing methods, data mining technology and so on have been applied to improve detection accuracy for IPv4 network. At first IPv6 security issues has been analysis in this paper, secondly discussed the IPv6 intrusion detection model, then we in accordance with such a model present an intrusion detection model realization for IPv6 network, and we propose a strategy for the system achieve and optimization. The system can work well for intrusion detection for IPv6 network.
  • Keywords
    IP networks; Internet; computer network security; cryptographic protocols; data mining; IPv6; Internet protocol; data mining; information processing; intrusion detection system; Accuracy; Association rules; Internet; Intrusion detection; Protocols; IPv6; Libpcap; data analysis; data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications (IFITA), 2010 International Forum on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-7621-3
  • Electronic_ISBN
    978-1-4244-7622-0
  • Type

    conf

  • DOI
    10.1109/IFITA.2010.89
  • Filename
    5635013