Pessimal Print: A Reverse Turing Test
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Using a Text-to-Speech Synthesizer to Generate a Reverse Turing Test
ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
CAPTCHA: using hard AI problems for security
EUROCRYPT'03 Proceedings of the 22nd international conference on Theory and applications of cryptographic techniques
Distortion estimation techniques in solving visual CAPTCHAs
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
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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Research on CAPTCHA has led CAPTCHA design into adopting almost exclusively graphical implementations that deal mostly with character recognition This has reached an exhaustion point, where new approaches are vital to the survival of the technique This paper discusses the early stages of a research that intends to solve the open problem of a CAPTCHA in the text domain offering, this way, innovative research possibilities to the CAPTCHA paradigm It is essentially an investigation on a CAPTCHA that draws its security from the cognitive and computational aspects behind phonetic punning riddles found on Knock-Knock Jokes By the specification of a computational model, the implementation of a prototype and its experimentation with human individuals, it is shown that the proposal is indeed feasible and that studies in non conventional areas for Information Security are the key for developing the proposed goal.