• DocumentCode
    2259780
  • Title

    The Pattern Matching Algorithms Formalized Analyze in Chinese Strings

  • Author

    Wu, Di ; Zhou, Xueguang ; Zhang, Huanguo

  • Author_Institution
    Coll. of Electron. Eng., Naval Univ. of Eng., Wuhan
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    403
  • Lastpage
    407
  • Abstract
    The abounded keywords, which were active jamming in Chinese, induced a mass of malicious Web pages in network content security fields. These keywords were distorted with homophones or complexity characters to replace one of the character or with punctuations random jamming and so on. The conventional pattern matching in Chinese strings cannot filter or search for these distorted keywords which were formalization analyzed at first. In order to mine the distorted keywords, a flexible pattern matching algorithm in Chinese strings was presented and formalization analyzed according to the theory of pattern matching. The flexible algorithm was improved the conventional ones, and can solve the problem of maliciously jammed with active jamming in Chinese string and protect the webs jammed with active jamming in Chinese effectively.
  • Keywords
    character recognition; pattern matching; security of data; text analysis; Chinese strings; complexity characters; homophones; malicious Web pages; network content security fields; pattern matching algorithms; Algorithm design and analysis; Application software; Filtering algorithms; Information technology; Intelligent networks; Jamming; Matched filters; Pattern analysis; Pattern matching; Web pages; active jamming in Chinese; algorithm; content security; flexible pattern matching in string; information security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.38
  • Filename
    4739604