• DocumentCode
    2659195
  • Title

    Intranet Threat Detection Technology Based on Non-frequent Pattern

  • Author

    Zhang, Fengqin ; Wang, Lei ; Zhang, Shuiping ; Zhang, Keying

  • Author_Institution
    Sch. of Telecommun. Eng., Air Force Eng. Univ., Xi´´an, China
  • fYear
    2011
  • fDate
    4-6 Nov. 2011
  • Firstpage
    416
  • Lastpage
    419
  • Abstract
    The existing network information security is mainly focused on the classification of gateway or network perimeter and so on. The lack of measures relevant to security threat from intranet hosts leads to information divulging with great loss. The intranet should be of high security. And it´s a latent threat when the intranet users visit the website with illegal motives. In view of these, the security threat mainly from the intranet is analyzed in the paper. Kripke structure is adopted to describe the mathematical model for intranet security system. Non-frequent pattern discovery algorithm based on matrix is designed. And a new intranet-threat monitoring model, which is suitable for dense network, is proposed. Thus the problem of effective monitoring and warning for intranet security is solved.
  • Keywords
    computer network security; intranets; pattern classification; Kripke structure; intranet threat detection technology; network information security; nonfrequent pattern discovery algorithm; security threat; Algorithm design and analysis; Data models; Itemsets; Mathematical model; Monitoring; Security; Intranet Security; Kripke structure; intelligent monitoring; non-frequent pattern;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security (MINES), 2011 Third International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4577-1795-6
  • Type

    conf

  • DOI
    10.1109/MINES.2011.111
  • Filename
    6103803