Captcha as Graphical Passwords -- A New Security Primitive Based on Hard AI Problems
Author(s): Bin B. Zhu, Jianxin Jeff Yan, Guanbo Bao, Maowei Yang, Ning Xu

Date: June 2014
Publication: IEEE Transactions on Information Forensics and Security, Vol 9, No 6
Page(s): 891 - 904
Publisher: IEEE
Source 1: http://research.microsoft.com/pubs/225926/published.pdf
Source 2: http://dx.doi.org/10.1109/TIFS.2014.2312547 - Subscription or payment required

Abstract or Summary:
Many security primitives are based on hard mathematical problems. Using hard AI problems for security is emerging as an exciting new paradigm, but has been under-explored. In this paper, we present a new security primitive based on hard AI problems, namely, a novel family of graphical password systems built on top of Captcha technology, which we call Captcha as graphical passwords (CaRP). CaRP is both a Captcha and a graphical password scheme. CaRP addresses a number of security problems altogether, such as online guessing attacks, relay attacks, and, if combined with dual-view technologies, shoulder-surfing attacks. Notably, a CaRP password can be found only probabilistically by automatic online guessing attacks even if the password is in the search set. CaRP also offers a novel approach to address the well-known image hotspot problem in popular graphical password systems, such as PassPoints, that often leads to weak password choices. CaRP is not a panacea, but it offers reasonable security and usability and appears to fit well with some practical applications for improving online security.



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