Drag and Drop Image CAPTCHA

Nisar A. Shah University of Kashmir, India

M. Tariq Banday University of Kashmir, India

Abstract
The massive and automated access to Web resources through robots has made it essential for Web service providers to make some conclusion about whether a "user" is human or robot. A Human Interaction Proof (HIP) like Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) offers a way to make such a distinction. CAPTCHA is essentially a modern implementation of Turing test, which carries out its job through a particular text based, image based or audio based challenge response system. In this paper we present a new image based CAPTCHA technique. Properties of the proposed technique offer all of the benefits of image based CAPTCHAs; grant an improved security control over the usual text based techniques and at the same time improve the user-friendliness of the Web page. Further, the paper briefly reviews various other existing CAPTCHA techniques.

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Reference:	Shah N.A., Banday M.T. (2008). "Drag and Drop Image CAPTCHA," . Sprouts: Working Papers on Information Systems, 8(46). http://sprouts.aisnet.org/8-46
Keywords:	CAPTCHAs, HIP, Botnet, Image CAPTCHA
Item Type:	Article - Volume 8 Article 46 (2008)
Language:	English
Email:	Nisar A. Shah (nassgr@yahoo.com) M. Tariq Banday (sgrmtb@yahoo.com)
Additional Information:	Proceedings of 4th J&K Science Congress 12th to 14th Nov, 2008, University of Kashmir, Srinagar, India

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