• DocumentCode
    2065692
  • Title

    Data Mining Based Intrusion Detection System in VPN Application

  • Author

    Fan Ya-qin ; Fan Wen-yong ; Wang Lin-zhu

  • Author_Institution
    Coll. of Commun. Eng., Jilin Univ., Changchun, China
  • Volume
    4
  • fYear
    2010
  • fDate
    14-15 Aug. 2010
  • Firstpage
    50
  • Lastpage
    52
  • Abstract
    In order to solve the problem that the technology can not satisfy VPN consumer´s need about information insurance for the safety resolving tradition´s, in the main body of this essay, we have being aimed at it´s safe hidden trouble on the basis going deep into the operating principle studying VPN´s, have brought forward one kind of scheme, this scheme passes an introduction invade check system, excavate an introduction at the same time with the data arriving at invade have adopted to come to come true owing to that association regulation data excavates an algorithm in detecting system. Indicate result, compete with original network in relatively, this scheme has improved 60% to customer´s assurance coefficient. Be one kind of reliable protection measure, fall off or eliminate from the loss that network attack brings about, problem can not solve by the mechanism having resolved tradition protection.
  • Keywords
    data mining; security of data; virtual private networks; VPN application; customers assurance coefficient; data mining; introduction invade check system; intrusion detection system; virtual private network; Classification algorithms; Data mining; Data models; Intrusion detection; Itemsets; Virtual private networks; data mining; intrusion detection; virtual private network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering (ICIE), 2010 WASE International Conference on
  • Conference_Location
    Beidaihe, Hebei
  • Print_ISBN
    978-1-4244-7506-3
  • Electronic_ISBN
    978-1-4244-7507-0
  • Type

    conf

  • DOI
    10.1109/ICIE.2010.301
  • Filename
    5571677