DocumentCode :
1833628
Title :
Optimising CAPTCHA Generation
Author :
Alsuhibany, Suliman A.
Author_Institution :
Sch. of Comput. Sci., Newcastle Univ., Newcastle upon Tyne, UK
fYear :
2011
fDate :
22-26 Aug. 2011
Firstpage :
740
Lastpage :
745
Abstract :
CAPTCHA is a test that can, automatically, tell human and computer programmes apart. It is now almost a standard security technology, and has found widespread application on commercial websites. Robustness and usability are two fundamental aspects with CAPTCHA. The robustness of a text CAPTCHA is typically determined by the strength of its segmentation-resistance mechanism. The mechanism of Crowding Character Together (CCT) has been shown to be reasonably resistant to known attacks. On the other hand, such an approach can reduce the usability by making characters very difficult to recognize. This paper proposes an optimiser that automatically enhances the usability of a CAPTCHA design. A key point of this optimiser is that the usability of the CAPTCHA scheme is improved without sacrificing its robustness level. Applying the proposed optimiser will be shown to achieve a significant improvement in the usability of CAPTCHA.
Keywords :
Web sites; security of data; CAPTCHA generation; CCT; commercial Web sites; completely automated public Turing test to tell computer and human apart; crowding character together; segmentation-resistance mechanism; standard security technology; Generators; Humans; Optimization; Refining; Robustness; Security; Usability; CAPTCHA; optimisation; security; usability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Availability, Reliability and Security (ARES), 2011 Sixth International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-1-4577-0979-1
Electronic_ISBN :
978-0-7695-4485-4
Type :
conf
DOI :
10.1109/ARES.2011.114
Filename :
6046030
Link To Document :
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