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Two-Step CAPTCHA: Using a Simple Two Step Turing Test to Differentiate between Humans and Bots

by Adarsh Baluni, Sayali Gole
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 16
Year of Publication: 2013
Authors: Adarsh Baluni, Sayali Gole
10.5120/14211-2473

Adarsh Baluni, Sayali Gole . Two-Step CAPTCHA: Using a Simple Two Step Turing Test to Differentiate between Humans and Bots. International Journal of Computer Applications. 81, 16 ( November 2013), 48-51. DOI=10.5120/14211-2473

@article{ 10.5120/14211-2473,
author = { Adarsh Baluni, Sayali Gole },
title = { Two-Step CAPTCHA: Using a Simple Two Step Turing Test to Differentiate between Humans and Bots },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 16 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 48-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number16/14211-2473/ },
doi = { 10.5120/14211-2473 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:56:16.081824+05:30
%A Adarsh Baluni
%A Sayali Gole
%T Two-Step CAPTCHA: Using a Simple Two Step Turing Test to Differentiate between Humans and Bots
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 16
%P 48-51
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Growth of Internet and its usage has made web services prone to malicious threats by automated scripts or bots. "Completely Automated Public Turing Test to tell Computers and Humans Apart", commonly abbreviated as CAPTCHA, is a technique used by web services to differentiate between humans and bots. [1] Most of these techniques are based on recognizing the distorted images of alphanumeric texts that are often not easy to understand by the humans. We put forward a new idea of preventing automated attacks by bots, which asks users to pass through a simple two-step process of authentication. The first step involves recognizing an image from a set of images that best answers to the question associated with this step. The second step involves entering the values associated with the image selected so as to further nullify the probability of a bot attack.

References
  1. R. Rehmam, D. Tomar and S. Das, "Dynamic Image Based CAPTCHA" , (2012) 978-0-7695-4692-6/12, IEEE Computer Society.
  2. Luis von Ahn, Manuel Blum and John Langford. Telling Humans and Computers Apart Automatically. In Communications of the ACM.
  3. Stanford Encyclopedia of Philosophy, http://plato. stanford. edu/entries/turing-test/
  4. Wikipedia: the free Encyclopedia, http://en. wikipedia. org/wiki/Turing_test.
  5. reCAPTCHA- http://www. google. com/recaptcha/captcha
  6. Montree Imsamai and Suphakant Phimoltares, "3D CAPTCHA: A next Generation of CAPTCHA. ", 2010 IEEE
  7. Chandvale, A. A; Sapkal, A. M; Jalnekar, R. M. , A Framework to analyze the security of Text based CAPTCHA, International Journalof Computer Applications, Vol 1 issue 27, pp. 127-132.
  8. Haichang Gao, Dan Yao, Honggang Liu, Xiyang Liu, Liming Wang, "A Novel Image Based CAPTCHA Using Jigsaw Puzzle" 2010 IEEE Computer Society.
  9. Monica Chew and J. D. Tygar, UC Berkeley, "Image Recognition CAPTCHAs" Springer, September 2004, pp. 268-279.
  10. M. Tariq Banday, N. A. Shah, "A Study of CAPTCHAs for Securing Web Services" International Journal of Secure Digital Information Age, Vol. 1. No. 2, December 2009.
  11. Rizwan Ur Rahman "SURVEY ON CAPTCHA SYSTEMS",Journal of Global Research in Computer Science.
Index Terms

Computer Science
Information Sciences

Keywords

CAPTCHA two step authentication Image based CAPTCHA Web Security Turing test.

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