Reviewing Effectiveness of CAPTCHA
| ||International Journal of Computer Trends and Technology (IJCTT)|| |
|© - May Issue 2013 by IJCTT Journal|
|Volume-4 Issue-5 |
|Year of Publication : 2013|
|Authors :Ms. Priyanka, Ms.Harleen Kaur, Mr.Dileep Kumar Kushwaha|
Ms. Priyanka, Ms.Harleen Kaur, Mr.Dileep Kumar Kushwaha"Reviewing Effectiveness of CAPTCHA "International Journal of Computer Trends and Technology (IJCTT),V4(5):1306-1311 May Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract: - The massive use of the Internet and WWW by the government and commercial organizations for automation of work has resulted in extensive proliferation of online computing. To avoid online forms being filled by bots or malicious computers the form designers usually use a cryptic image known as CAPTHA (Completely Automated Public Turing test to Tell Computers and Humans Apart) [CAPTCHA] which is human readable and the form can be submitted only when the user has decrypted the captcha and filled in the text represented by that captcha. This type of visual and textual verification comes at a huge price to users who are blind, visually impaired or dyslexic. In many cases, these systems make it impossible for users with certain disabilities to create accounts, write comments, or make purchases on these sites, that is, CAPTCHAs fail to properly recognize users with disabilities as human. Also like every security system that has preceded it, this system can be defeated by those who benefit most from doing so. For example, spammers can pay a programmer to aggregate these images and feed them one by one to a human operator, who could easily verify hundreds of them each hour. The efficacy of visual verification systems is low, and their usefulness is nullified once they are commonly exploited.
L. V. Ahn, M. Blum, N. J. Hopper, and J. Langford. CAPTCHA: using hard AI problems for security. In Eurocrypt, 2003.
Luis von Ahn, Manuel Blum, Nicholas J. Hopper and John Langford. TheCAPTCHA Web Page: http://www.captcha.net. 2000.
Luis von Ahn, Manuel Blum and John Langford. Telling Humans and Computers Apart (Automatically) or How Lazy Cryptographers do AI. To appear in Commu-nications of the ACM.
MihirBellare, Russell Impagliazzo and MoniNaor. Does Parallel Repetition Lower the Error in Computationally Sound Protocols? In 38th IEEE Symposium on Foundations of Computer Science (FOCS` 97),
 "Breaking CAPTCHAs Without Using OCR". Howard Yeend (pureMango.co.uk). 2005. Retrieved 2006-08-22.
Kumar Chellapilla, Kevin Larson, Patrice Simard, Mary Czerwinski (2005). Computers beat Humans at Single Character Recognition in Reading based Human Interaction Proofs (HIPs) (PDF). Microsoft Research. Archived from the original on 2006-06-13.Retrieved 2006-08-02.
 Gregg Keizer, "Spammers` bot cracks Microsoft`s CAPTCHA: Bot beats Windows Live Mail`s registration test 30% to 35% of the time, says Websense", Computerworld"`, February 7, 2008
Prasad, Sumeet (2008-02-22). "Google’s CAPTCHA busted in recent spammer tactics".Websense.Archived from the original on 2008-08-22.Retrieved 2008-12-21.
Jeff Yan; Ahmad Salah El Ahmad (April 13, 2008). A Low-cost Attack on a Microsoft CAPTCHA (PDF). School of Computing Science, Newcastle University, UK.Retrieved 2008-12-21.
 M. Motoyama, K. Levchenko, C. Kanich, D. McCoy,G. M. Voelker, and S. Savage. "Re: CAPTCHAs:understanding CAPTCHA-solving services in an economic context". University of California, San Diego.Retrieved 17 March 2011.
Keywords — CAPTCHA, Security, Online Form Processing,effectiness of captcha, captcha for disable human.