• DocumentCode
    2179555
  • Title

    Application of data mining on the design of intrusion detection system

  • Author

    Zhen-yun, Chang ; Du Yan-fang

  • Author_Institution
    Tianjin Tianshi Coll., Tianjin, China
  • fYear
    2011
  • fDate
    9-11 Sept. 2011
  • Firstpage
    1890
  • Lastpage
    1893
  • Abstract
    In order to decrease the number of misclassification of attacks, the application of data mining technology on the intrusion detection was studied in depth. Firstly, the study background was introduced, and then the basic theory of intrusion detection system was analyzed, and then the basic theory of data mining technology was discussed and the mode of data mining was established, and the algorithm was designed, and finally the simulation analysis was carried out, and the results showed that this method had a good precious.
  • Keywords
    data mining; security of data; attacks misclassification; data mining; intrusion detection system; Analytical models; Association rules; Clustering algorithms; Databases; Intrusion detection; Joints; data mining; intrusion detection system; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Communications and Control (ICECC), 2011 International Conference on
  • Conference_Location
    Zhejiang
  • Print_ISBN
    978-1-4577-0320-1
  • Type

    conf

  • DOI
    10.1109/ICECC.2011.6066693
  • Filename
    6066693