• DocumentCode
    1092491
  • Title

    Spam Filtering With Dynamically Updated URL Statistics

  • Author

    Kim, Jangbok ; Chung, Kihyun ; Choi, Kyunghee

  • Author_Institution
    Ajou Univ., Suwon
  • Volume
    5
  • Issue
    4
  • fYear
    2007
  • Firstpage
    33
  • Lastpage
    39
  • Abstract
    Many URL-based spam filters rely on "white" and "black" lists to classify email. The authors\´ proposed URL-based spam filter instead analyzes URL statistics to dynamically calculate the probabilities of whether email with specific URLs are spam or legitimate, and then classifies them accordingly.
  • Keywords
    probability; statistical analysis; unsolicited e-mail; dynamically updated URL statistics; email; probability; spam filtering; Bayesian methods; Content management; Filtering; Filters; Network servers; Probability; Relays; Statistics; Uniform resource locators; Unsolicited electronic mail; UCE; email; spam filtering;
  • fLanguage
    English
  • Journal_Title
    Security & Privacy, IEEE
  • Publisher
    ieee
  • ISSN
    1540-7993
  • Type

    jour

  • DOI
    10.1109/MSP.2007.95
  • Filename
    4288041
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1092491