Analysis of Captcha Security Methods in Web Applications
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2014 by IJCTT Journal|
|Year of Publication : 2014|
|Authors : S.Thangavelu, T.Purusothaman, G.Gowrison|
|DOI : 10.14445/22312803/IJCTT-V9P175|
S.Thangavelu, T.Purusothaman, G.Gowrison."Analysis of Captcha Security Methods in Web Applications". International Journal of Computer Trends and Technology (IJCTT) V9(1):417-420, March 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Captcha is the abbreviation for completely automated public turing test to tell computers and humans apart. Captcha is a security mechanism which determines whether the online user is human or automated programs known as bots. Captcha ask the user to perform some task to prove him as human. It is easy for humans to complete the task but difficult for bots. Thus Captcha become a standard protective arrangement in all the websites and web applications to prevent the entry of bots which perform malicious activities such as spamming, scalping. This paper analyzes the various types of Captcha methods engaged in different websites as a security arrangement and their merits and demerits.
 Rich Gossweiler and Shumeet Baluja, “What`s up CAPTCHA?: a CAPTCHA based on image orientation”, in: Proceedings of the 18th International conference on World wide web, Pages 841-850, ACM ,New York, USA ,2009
 Riswan Ur Rahman, „Survey on Captcha Systems?, Journal of Global Research in Computer Science, vol.3, no: 6, 2012
 Henry S.Baird & kris popat, “Human interactive proof and document Image analysis”, in: International workshop on document analysis system, 2002
 Luis von ahn, „Telling humans and computers automatically?, Communications of ACM, vol. 46, no.8, 2003.
 Greg Mori & Jitendra Malik,, „Recognizing objects in adversarial clutter: breaking a visual Captcha, in: Proceedings of the IEEE computer society conference on Computer vision and pattern recognition, Washington, pp 134-141, 2003.
 Monica Chew & Henry S. Baird,? Baffle Text: a Human Interactive Proof?, in: Proceedings of the SPIE/IS&T Document Recognition & Retrieval Conference,2003.
 Coates, A.L, S. Bired & J. Fateman, „Pessimal Print: A Reverse Turing Test?, International Journal on Document Analysis and Recognition, vol.5, no.2, pp 158-163, 2003.
 Lupkowski, „SemCaptcha – user friendly alternative for OCR based Captcha systems?, in: Proceedings of the International Multi conference on Computer Science and Information Technology, pp 325–329, 2008
 Amalia rusu , „Handwritten Captcha using the difference in the abilities of human and machines in reading handwritten words?, in : Proceedings of the 9th International Workshop on Frontiers in Handwriting Recognition, IEEE, 2004
 Sarika Choudhary, Ritika Saroha and Yatan Dahiya, „Understanding Captcha: Text and Audio Based Captcha with its Applications,? International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 6, 2013
 Luis von Ahn, „Labeling Images with a Computer Game?, in: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2004.
 Warner, „The cutest human test: Kittenauth?, www.thePCSpy.com
 Elson, „Assira: a Captcha that exploits interest-aligned manual image categorization?, in: Proceedings of the 2007 ACM, pp 366–374
 Gao et al, „An audio CAPTCHA to distinguish humans from computers?, in: 3rd International Symposium on Electronic Commerce and Security, pp 265–269, 2010.
 Kluever , „Balancing Usability and Security in a Video Captcha?, in: Proceedings of the 5th Symposium on Usable Privacy and Security, pp 1–14, 2009.
Text Captcha, Image Captcha, security, attacks, web applications.