Usability and Security of Gaze-Based Graphical Grid Passwords
Author(s): Majid Arianezhad, Douglas Stebila, Behzad Mozaffari

Date: April 2013
Publication: Financial Cryptography and Data Security 2013 Workshops, Lecture Notes in Computer Science Volume 7862,
Page(s): 17 - 33
Publisher: Springer-Verlag
Source 1: http://www.kisc.meiji.ac.jp/~ethicj/USEC13/submissions/usec13_submission_07.pdf
Source 2: http://eprints.qut.edu.au/58524/1/Proceedings_full_version.pdf
Source 3: http://dx.doi.org/10.1007/978-3-642-41320-9_2 - Subscription or payment required

Abstract or Summary:
We present and analyze several gaze-based graphical password schemes based on recall and cued-recall of grid points; eye-trackers are used to record userís gazes, which can prevent shoulder-surfing and may be suitable for users with disabilities. Our 22-subject study observes that success rate and entry time for the grid-based schemes we consider are comparable to other gaze-based graphical password schemes. We propose the first password security metrics suitable for analysis of graphical grid passwords and provide an in-depth security analysis of usergenerated passwords from our study, observing that, on several metrics, user-generated graphical grid passwords are substantially weaker than uniformly random passwords, despite our attempts at designing schemes to improve quality of user-generated passwords.



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