Increasing the security of gaze-based cued-recall graphical passwords using saliency masks

Bulling, Andreas and Alt, Florian and Schmidt, Albrecht (2012) Increasing the security of gaze-based cued-recall graphical passwords using saliency masks. In: Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems. CHI '12 . ACM, New York, pp. 3011-3020. ISBN 978-1-4503-1015-4

Full text not available from this repository.


With computers being used ever more ubiquitously in situations where privacy is important, secure user authentication is a central requirement. Gaze-based graphical passwords are a particularly promising means for shoulder-surfing-resistant authentication, but selecting secure passwords remains challenging. In this paper, we present a novel gaze-based authentication scheme that makes use of cued-recall graphical passwords on a single image. In order to increase password security, our approach uses a computational model of visual attention to mask those areas of the image that are most likely to attract visual attention. We create a realistic threat model for attacks that may occur in public settings, such as filming the user's interaction while drawing money from an ATM. Based on a 12-participant user study, we show that our approach is significantly more secure than a standard image-based authentication and gaze-based 4-digit PIN entry.

Item Type: Contribution in Book/Report/Proceedings
Uncontrolled Keywords: /dk/atira/pure/researchoutput/libraryofcongress/qa75
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 57257
Deposited By: ep_importer_pure
Deposited On: 13 Aug 2012 08:53
Refereed?: Yes
Published?: Published
Last Modified: 19 Feb 2020 06:07

Actions (login required)

View Item View Item