• DocumentCode
    2703293
  • Title

    On Spam Detection Based on Cognitive Pattern Recognition

  • Author

    Liang, Tiancai ; Pi, Youguo

  • Author_Institution
    South China Univ. of Technol., Guangzhou
  • fYear
    2007
  • fDate
    15-19 Dec. 2007
  • Firstpage
    136
  • Lastpage
    139
  • Abstract
    A spam detection method, based on cognitive pattern recognition, had been proposed. The connection between Email category and cognition of Email user interest within life and work, had been analyzed. Under the guidance of cognitive pattern recognition theory, the mechanism of spam detection, based on intelligent cognition of Email user interest within life and work, had been discussed. Then the spam detection algorithm and its concrete implementation was given. Experimental results demonstrate that the spam detection algorithm has a good learning ability, scalability, and a good ability to achieve high recognition accuracy.
  • Keywords
    cognitive systems; pattern recognition; unsolicited e-mail; Email category; cognitive pattern recognition; intelligent cognition; spam detection; Cognition; Competitive intelligence; Detection algorithms; Educational institutions; Frequency; Humans; Learning systems; Pattern recognition; Postal services; Unsolicited electronic mail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-0-7695-3073-4
  • Type

    conf

  • DOI
    10.1109/CISW.2007.4425464
  • Filename
    4425464