• DocumentCode
    3283060
  • Title

    Hybrid Spam E-mail Filtering

  • Author

    Bhuleskar, Ronald ; Sherlekar, Anoop ; Pandit, Anala

  • Author_Institution
    VJTI, Mumbai, India
  • fYear
    2009
  • fDate
    23-25 July 2009
  • Firstpage
    302
  • Lastpage
    307
  • Abstract
    Due to the growing penetration of Internet enabled electronic mail (email) services and the greater dependency of organizations and individuals on these services, the problem of spam electronic mails, (commonly known as spam) arises. Existing technologies and algorithms focus on individual parameters of the malicious content. However, efficiency of the filtering techniques gets significantly reduced when special forging techniques are used and the shortcomings of individual algorithms are exploited. This paper focuses on an approach which tries to combine the advantages of the various filtering techniques and proposes a hybrid filter. The hybrid technique can be implemented using various models, considering available resources with the server. After the review of earlier publications on this topic available and a comparative study of their advantages and disadvantages a hybrid filter that is simpler to implement and efficient has been proposed in this work.
  • Keywords
    e-mail filters; unsolicited e-mail; Internet; hybrid spam email filtering; spam electronic mail; Computational intelligence; Costs; Electronic mail; IP networks; Information filtering; Information filters; Postal services; Software architecture; Statistics; Unsolicited electronic mail; Email; Filter; Filtering; HSF; Hybrid; Parallel model; Self Improvisation; Spam; blacklist; content based filtering; forging; legitimate coefficient; self learning technique; spam coefficient; spam mean; whitelist;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Communication Systems and Networks, 2009. CICSYN '09. First International Conference on
  • Conference_Location
    Indore
  • Print_ISBN
    978-0-7695-3743-6
  • Type

    conf

  • DOI
    10.1109/CICSYN.2009.34
  • Filename
    5231956