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General Information

Prof. Pascal Lorenz
University of Haute Alsace, France
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2015 Vol.4(3): 211-215 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2015.V4.387

Character Image Semantic-Based CAPTCHA

Aziz Barbar and Anis Ismail

Abstract—CAPTCHA is almost a standard security technology, and has found widespread application in commercial websites. Image recognition CAPTCHAs faces many potential problems which have not been fully studied. It is difficult for a small site to acquire a large dictionary of images which an attacker does not have access to and without a means of automatically acquiring new labeled images, an image based challenge does not usually meet the definition of a CAPTCHA. They are either unusable or prone to attacks. In this paper, we propose the Character Image Semantic (CIS) based CAPTCHA that will combine both Image and Text into one CAPTCHA which will strengthen it and does not make it human solvable. Benchmarks will be discussed after conducting both Usability and Security tests with a clear set of results that show the accuracy of the proposed solution compared to other existing ones.

Index Terms—CAPTCHA, security, image recognition, semantics.

Aziz Barbar is with American University of Science & Technology, Beirut, Lebanon (e-mail: abarbar@aust.edu.lb).
Anis Ismail is with University Institute of Technology, Lebanese University, Sidon, Lebanon (e-mail: anismaiil@ul.edu.lb).


Cite: Aziz Barbar and Anis Ismail, "Character Image Semantic-Based CAPTCHA," International Journal of Future Computer and Communication vol. 4, no. 3, pp. 211-215, 2015.

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