• DocumentCode
    532374
  • Title

    Research of spam filtering based on Bayesian algorithm

  • Author

    Gong, YiShan ; Chen, Qiang

  • Author_Institution
    Foreign Language Inst., Shenyang Univ. of Technol., Shenyang, China
  • Volume
    4
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    E-mail is the most commonly used network application which has become an important way of network communication. The research of content-based spam filtering technology is a key problem of the Internet security field. The paper described a spam filtering which was based on the Naive Bayesian algorithm and designed a spam filtering model based on the naive Bayesian algorithm. The paper carried out an experiment on the Ling-spam Corpus with VC 6.0 platform, and got a higher accuracy and recall rate.
  • Keywords
    Internet; belief networks; feature extraction; information filtering; security of data; unsolicited e-mail; Internet security; Ling-spam Corpus; VC 6.0 platform; content based spam filtering technology; e-mail; naive Bayesian algorithm; network application; network communication; Bayesian methods; feature extraction; information gain; naive bayesian; spam filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5620432
  • Filename
    5620432