Title :
Captcha as Graphical Passwords—A New Security Primitive Based on Hard AI Problems
Author :
Zhu, Bin B. ; Yan, Jeff ; Guanbo Bao ; Maowei Yang ; Ning Xu
Author_Institution :
Microsoft Res. Asia, Beijing, China
Abstract :
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.
Keywords :
artificial intelligence; security of data; CaRP password; Captcha as graphical passwords; PassPoints; artificial intelligence; automatic online guessing attacks; dual-view technologies; hard AI problems; hard mathematical problems; image hotspot problem; online security; password choices; relay attacks; search set; security primitives; shoulder-surfing attacks; Animals; Artificial intelligence; Authentication; CAPTCHAs; Usability; Visualization; CaRP; Captcha; Graphical password; dictionary attack; hotspots; password; password guessing attack; security primitive;
Journal_Title :
Information Forensics and Security, IEEE Transactions on
DOI :
10.1109/TIFS.2014.2312547