Designing human friendly human interaction proofs (HIPs)
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CAPTCHA Challenge Tradeoffs: Familiarity of Strings versus Degradation of Images
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Recognizing objects in adversarial clutter: breaking a visual captcha
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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CAPTCHAs are challenge-response tests to verify that the user is a human (and not a program/robot). CAPTCHAs use problems that are trivial for humans to solve, but are hard for computers. Unfortunately, CAPTCHAs have focused only on one aspect of human ability: image/word recognition. This paper explores the usage of other human abilities: particularly, finding associations between related concepts; to design secure, human-friendly Human Interaction Proofs (HIPs) In this paper, we present AssoCAPTCHA: CAPTCHAs so designed that they require no greater user-interaction than conventional solutions, yet have orders of magnitude greater security. Preliminary tests confirm user acceptance and efficiency of the system.