• DocumentCode
    3068275
  • Title

    An Immunological Approach to Filtering Email

  • Author

    Gang, Song ; Qiang, Hu

  • Author_Institution
    Coll. of Electron. & Inf. Eng., Chengdu Univ., Chengdu, China
  • Volume
    3
  • fYear
    2010
  • fDate
    16-18 July 2010
  • Firstpage
    327
  • Lastpage
    331
  • Abstract
    The previous models or methods almost adopted static measure, and filters need be updated and maintained frequently, so they can not adapt to dynamic spam and lack of self-adaptation. In this paper, An Immunological approach to filtering junk Email has been built. The experiment shows that this model can efficiently raise both the recall ratio and precision ratio, and enhance the ability of self-adaptation and diversity for the junk Email.
  • Keywords
    e-mail filters; information filtering; unsolicited e-mail; dynamic spam; email filtering; immunological approach; junk email; self adaptation; Computational modeling; Detectors; Electronic mail; Filtering; Libraries; Postal services; Training; black list; filter classification; immune; junk email;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications (IFITA), 2010 International Forum on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-7621-3
  • Electronic_ISBN
    978-1-4244-7622-0
  • Type

    conf

  • DOI
    10.1109/IFITA.2010.59
  • Filename
    5634675