Telling humans and computers apart automatically
Communications of the ACM - Information cities
Asirra: a CAPTCHA that exploits interest-aligned manual image categorization
Proceedings of the 14th ACM conference on Computer and communications security
A low-cost attack on a Microsoft captcha
Proceedings of the 15th ACM conference on Computer and communications security
Balancing usability and security in a video CAPTCHA
Proceedings of the 5th Symposium on Usable Privacy and Security
Execution Time Prediction for 3D Interactive CAPTCHA by Keystroke Level Model
ICCIT '09 Proceedings of the 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology
A CAPTCHA Implementation Based on 3D Animation
MINES '09 Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 02
Secured WSN-integrated cloud computing for u-life care
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
Human identification through image evaluation using secret predicates
CT-RSA'07 Proceedings of the 7th Cryptographers' track at the RSA conference on Topics in Cryptology
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A CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) is a scheme used to determine whether the user is a human or a malicious computer program. It has become the most widely used standard security technology to prevent automated computer program attacks. In this paper, we first give an overview of CAPTCHA. Next, we discuss the pros and cons of various CAPTCHA techniques. Then, we present the common attacks and vulnerability analysis in CAPTCHA design. Subsequently, we suggest counter-measures and remedies for those attacks. Finally we propose a personalized CAPTCHA to replace the traditional password-based authentication system as possible further research in applying CAPTCHA to user authentication application.