2010 · 35 citations · 5 references
ComputingComputer ScienceCybersecurityArtificial IntelligenceComputer SecurityNatural Language ProcessingHuman-machine InterfacesMachine Translation
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.
5
Asirra: A captcha that exploits interest-aligned manual image categorization
Jeremy Elson, John R. Douceur, Jon Howell et al. · 2007 · 480 citations
Machine learning attacks against the Asirra CAPTCHA
Philippe Golle · 2008 · 233 citations
Machine learning attacks against the Asirra CAPTCHA
Philippe Golle · 2009 · 68 citations