• DocumentCode
    502916
  • Title

    The application of the detection and data mining algorithm optimization in Honeynet

  • Author

    Nanping, Dong ; Guanling, Zhou ; Yuping, Wang

  • Author_Institution
    Coll. of Autom., Beijing Union Univ., Beijing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    8-9 Aug. 2009
  • Firstpage
    115
  • Lastpage
    118
  • Abstract
    A technical scheme, which can properly arrange IDS and optimally apply the algorithms of detection and data mining to the Honeynet environment, is proposed in the building automation system completed by the author recently. In this specific environment, the position of IDS is deployed reasonably and the anomaly and misuse detection algorithm of IDS is designed and selected optimally. Meanwhile, the misuse detection rules are updated dynamically with the combination of data-mining association rule algorithm. The design makes the classical and mature algorithms display their technical characteristics and advantages to the largest extent in the project and enable the honeynet to protect the internal control network as expected.
  • Keywords
    building management systems; control system synthesis; data mining; optimal control; optimisation; security of data; IDS algorithm; building automation system; data mining association rule algorithm; honeynet environment; information security technology; internal control network; intrusion detection system; misuse detection algorithm; optimal design; optimization; Algorithm design and analysis; Automatic control; Buildings; Control systems; Data mining; Design automation; Detection algorithms; Information security; Intrusion detection; Protection; association rules; detection algorithm; honeynet; optimal design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-4247-8
  • Type

    conf

  • DOI
    10.1109/CCCM.2009.5268138
  • Filename
    5268138