• DocumentCode
    2716130
  • Title

    An Anti-SMS-Spam Using CAPTCHA

  • Author

    Shirali-Shahreza, M. Hassan ; Shirali-Shahreza, Mohammad

  • Author_Institution
    Comput. Eng. Dept., Yazd Univ., Yazd
  • Volume
    2
  • fYear
    2008
  • fDate
    3-4 Aug. 2008
  • Firstpage
    318
  • Lastpage
    321
  • Abstract
    Today sending spams has turned to be a major problem in the Internet. In last 20 years, the Internet and mobile communication growth in parallel. So the spams are also born on the mobile phones as the form of SMS (short message service) spams. In this paper a new method is proposed for filtering SMS spams using CAPTCHA (completely automatic public turing test to tell computer and human apart) systems. CAPTCHA systems are used to distinguish between human users and computer programs automatically.In this method, the picture of an object is sent as an SMS picture message. Also name of that object and name of three other objects are written in the SMS as a multiple-choose question. The user should select the name of that object from a list of four object names and send the number back in reply as an SMS text message. If the SMS sender can pass the CAPTCHA test, it will be identified that SMS is legitimate.
  • Keywords
    Internet; electronic messaging; information filtering; mobile computing; CAPTCHA; Internet; SMS spams filtering; SMS text message; anti-SMS-spam; completely automatic public turing test to tell computer and human apart; mobile communication growth; short message service; Artificial intelligence; Automatic testing; Computer science; Humans; Internet; Message service; Mobile communication; Mobile handsets; Optical character recognition software; System testing; Anti-Spam; CAPTCHA (Completely Automated Public Turing test to tell Computers and Human Apart); Mobile Phone; SMS (Short Message Service); SMS Spam;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3290-5
  • Type

    conf

  • DOI
    10.1109/CCCM.2008.247
  • Filename
    4609698