• DocumentCode
    1121195
  • Title

    Collaborative Spam Filtering Using E-Mail Networks

  • Author

    Kong, Joseph S. ; Rezaei, Behnam A. ; Sarshar, Nima ; Roychowdhury, Vwani P. ; Boykin, P. Oscar

  • Author_Institution
    Dept. of Electr. Eng., California Univ., Los Angeles, CA
  • Volume
    39
  • Issue
    8
  • fYear
    2006
  • Firstpage
    67
  • Lastpage
    73
  • Abstract
    Widespread Internet use has led to the emergence of several kinds of large-scale social networks in cyberspace, most notably e-mail networks. Unfortunately, the tremendous convenience that e-mail affords comes at a high price: Although the network´s underlying connectivity is hidden, making it almost impossible to build a comprehensive directory of every individual´s contact lists, e-mail addresses themselves can be easily obtained from publicly available documents. Spammers have exploited this vulnerability to inundate users with unsolicited bulk e-mail. A distributed spam-filtering system that leverages e-mail networks´ topological properties is more efficient and scalable than client-server-based solutions. Large-scale simulations of a prototype system reveal that this approach achieves a near-perfect spam-detection rate while minimizing bandwidth cost
  • Keywords
    Internet; data privacy; information filtering; information filters; unsolicited e-mail; Internet; bandwidth cost minimization; collaborative spam filtering; e-mail networks; large-scale simulations; large-scale social networks; near-perfect spam-detection rate; prototype system; Bandwidth; Collaboration; Electronic mail; IP networks; Information filtering; Information filters; Large-scale systems; Social network services; Unsolicited electronic mail; Virtual prototyping; e-mail networks; spam;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/MC.2006.257
  • Filename
    1673332