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 user's 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 user-generated 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. © International Financial Cryptography Association 2013.
CITATION STYLE
Arianezhad, M., Stebila, D., & Mozaffari, B. (2013). Usability and security of gaze-based graphical grid passwords. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7862 LNCS, pp. 17–33). https://doi.org/10.1007/978-3-642-41320-9_2
Mendeley helps you to discover research relevant for your work.