• DocumentCode
    2503134
  • Title

    CAPTCHA Using Strangeness in Machine Translation

  • Author

    Yamamoto, Takumi ; Tygar, J.D. ; Nishigaki, Masakatsu

  • Author_Institution
    Grad. Sch. of Sci. & Technol., Shizuoka Univ., Hamamatsu, Japan
  • fYear
    2010
  • fDate
    20-23 April 2010
  • Firstpage
    430
  • Lastpage
    437
  • Abstract
    CAPTCHA is a technique that is used to prevent automatic programs from being able to acquire free e-mail or online service accounts. However, as many researchers have already reported, conventional CAPTCHA could be overcome by state-of-the-art malware since the capabilities of computers are approaching those of humans. Therefore, CAPTCHA should be based on even more advanced human-cognitive-processing abilities. We propose using the human ability of recognizing “strangeness” to achieve a new CAPTCHA. This paper focuses on strangeness in machine-translated sentences as an example, and proposes CAPTCHA using Strangeness in Sentences (SS-CAPTCHA), which detects malware by checking if users can distinguish natural sentences created by humans from machine-translated sentences. We discuss possible threats to SS-CAPTCHA and countermeasures against these threats. We also carried out basic experiments to confirm its usability by human users.
  • Keywords
    cognition; invasive software; language translation; SS-CAPTCHA; automatic program; free e-mail; human-cognitive-processing ability; machine translation; machine-translated sentence; malware; natural sentence; online service account; strangeness in sentences; Animals; Application software; Automatic testing; Character recognition; Electronic mail; Humans; Image recognition; Optical character recognition software; Text recognition; Web services; SS-CAPTCHA; advanced human cognitive processing abilities; machine translated sentences; strangeness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications (AINA), 2010 24th IEEE International Conference on
  • Conference_Location
    Perth, WA
  • ISSN
    1550-445X
  • Print_ISBN
    978-1-4244-6695-5
  • Type

    conf

  • DOI
    10.1109/AINA.2010.55
  • Filename
    5474731