• DocumentCode
    3169778
  • Title

    Filtering Short Message Spam of Group Sending Using CAPTCHA

  • Author

    He, Peizhou ; Sun, Yong ; Zheng, Wei ; Wen, Xiangming

  • Author_Institution
    Beijing Univ. of Posts & Telecommun., Beijing
  • fYear
    2008
  • fDate
    23-24 Jan. 2008
  • Firstpage
    558
  • Lastpage
    561
  • Abstract
    Short message spam brings so much trouble to the users, and the volume of short message spam becomes more and more large, especially the function of group sending is used in short message. This paper proposes a method to filter short message spam of group sending, in other words, it utilizes CAPTCHA (completely automated public Turing test to tell computers and human apart) method to filter short message spam. If the short message service (SMS) can pass the CAPTCHA, it will be identified as legitimate SMS and transmitted by Short Message processing Center. Conversely, if the SMS can not pass the CAPTCHA, it will be identified as SMS spam and deleted by Short Message processing Center. Finally, it has been simulated with Smartphone of Microsoft Visual Studio 2005.
  • Keywords
    electronic messaging; information filtering; unsolicited e-mail; SMS spam; automated public Turing test; group sending; short message service; short message spam filtering; Automatic testing; Data mining; Filtering; Filters; Helium; Humans; Message service; Mobile communication; Optical character recognition software; Unsolicited electronic mail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    978-0-7695-3090-1
  • Type

    conf

  • DOI
    10.1109/WKDD.2008.131
  • Filename
    4470459