IMPTCHA: A Creative Image CAPTCHA
الموضوعات : Journal of Computer & Robotics
Reza Shali
1
(Faculty of Computer and Information Technology Engineering, Qazvin Branch, Inslamic Azad University, Qazvin, Iran)
الکلمات المفتاحية: Ontology, Security, CAPTCHA, Image labeling,
ملخص المقالة :
Abstract We present IMPTCHA, a new CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) as a security measure to recognize human users. The proposed system uses images instead of distorted text to label images as a valuable output. IMPTCHA is generated from images on the Web. For passing this CAPTCHA, users must type two words for description of two images. When users pass the challenge, the provided meaningful labels are used to determine the content of images. In addition, semantic graphs for labels and images are created and according of it we’ll able to develop an image semantic search engine. Due to usage of images in this system, and its architecture, it is highly secure compared to its counterparts. In a user study involving 60 participants, IMPTCHA’s word accuracy is measured to be 98.18% while 61.26% of users could pass the challenge.Keywords:CAPTCHA, Ontology, Image labeling, Security
[1] L. Von Ahn, B. Maurer, C. McMillen, D. Abraham, and
M. Blum, "reCaptcha: Human-based character
recognition via web security measures," Science, vol.
321, pp. 1465-1468, 2008.
[2] ElieBursztein , Matthieu Martin , John Mitchell, Textbased
CAPTCHA strengths and weaknesses,
Proceedings of the 18th ACM conference on Computer
and communications security, October 17-21, 2011,
Chicago, Illinois, USA .
[3] Luis von Ahn, Manuel Blum, Nicholas J. Hopper, and
John Langford. CAPTCHA: Using hard AI problems for
security. In Eli Biham, editor, Advances in Cryptology –
EUROCRYPT 2003, International Conference on the
Theory and Applications of Cryptographic Techniques,
Warsaw, Poland, May 4-8, 2003, Proceedings, volume
2656 of Lecture Notes in Computer Science, pages 294–
311. Springer, 2003.
[4] Turing Test, http://en.wikipedia.org/wiki/Turing_test,
visited Date: 05/05/2019.
[5] What is reCAPTCHA?,
http://www.google.com/recaptcha/learnmore,Visited
Date: 10/05/2012.
[6] J. Elson, J. R. Doucerur, J. Howell, and J. Saul.Asirra: A
Captcha that exploits interest-aligned manual image
categorization. In Proceedings of the 14th ACM
conference on Computer and communications security,
CCS ’07, pages 366–374, New York, NY, USA, 2007.
ACM.
[7] Nucaptcha,www.nucaptcha.com, visited date:
05/05/2012.
[8] Kluever, K.A., and Zanibbi, R. (2009) Balancing
Usability and Security in a Video CAPTCHA. Paper
presented at the 5th Symposium on Usable Privacy and
Security. July 2009. Mountain View, California.
[9] How we broke the NuCaptcha video scheme and what
we propose to fix it, http://elie.im/blog/security/how-webroke-
the-nucaptcha-video-scheme-and-what-wepropose-
to-fix-it/, Visited Date: 25/04/2012.
[10] It’s 1999. Lowe, David G. (1999). "Object recognition
from local scale-invariant features". Proceedings of the
International Conference on Computer Vision. 2. pp.
1150–1157. DOI:10.1109/ICCV.1999.790410.
[11] Von Ahn, L.; Dabbish, L. (2004)."Labeling images
with a computer game".Proceedings of the 2004
conference on Human factors in computing systems -
CHI '04. pp. 319–326. DOI:10.1145/985692.985733.
ISBN 1581137028.
