Survey Paper on Genetically Optimized Face Image CAPTCHA
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 11, November 2014

Survey Paper on Genetically Optimized Face Image CAPTCHA

Juhi Shah, D. N. Rewadkar

The increasing use of smartphones, tablets, and other mobile devices poses a signi_cant challenge in providing effective online security. CAPTCHAs, tests for distinguishing human and computer users, have traditionally been popular; however, they face particular dif_culties in a modern mobile environment because most of them rely on keyboard input and have language dependencies. This paper proposes a novel image-based CAPTCHA that combines the touch-based input methods favored by mobile devices with genetically optimized face detection tests to provide a solution that is simple for humans to solve, ready for worldwide use, and provides a high level of security by being resilient to automated computer attacks. In extensive testing involving over 2600 users and 40 000 CAPTCHA tests, CAPTCHA demonstrates a very high human success rate while ensuring a 0 % attack rate using three well-known face detection algorithms.

Keywords: Mobile security, web security, CAPTCHA, face detection

Edition: Volume 3 Issue 11, November 2014

Pages: 3002 - 3005

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How to Cite this Article?

Juhi Shah, D. N. Rewadkar, "Survey Paper on Genetically Optimized Face Image CAPTCHA", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB14223, Volume 3 Issue 11, November 2014, 3002 - 3005

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