@inproceedings{bulling2012chi,
 abstract = {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.},
 acmid = {2208712},
 address = {New York, NY, USA},
 author = {Bulling, Andreas and Alt, Florian and Schmidt, Albrecht},
 booktitle = {Proceedings of the 2012 ACM Annual Conference on Human Factors in Computing Systems},
 doi = {10.1145/2207676.2208712},
 isbn = {978-1-4503-1015-4},
 keywords = {cued-recall graphical passwords, eye tracking, gaze-based, saliency masks, User authentication},
 location = {Austin, Texas, USA},
 month = {apr},
 note = {bulling2012chi},
 numpages = {10},
 pages = {3011--3020},
 publisher = {ACM},
 series = {CHI'12},
 timestamp = {2012.05.01},
 title = {Increasing The Security Of Gaze-Based Cued-Recall Graphical Passwords Using Saliency Masks},
 url = {https://www.unibw.de/usable-security-and-privacy/publikationen/pdf/bulling2012chi.pdf},
 year = {2012}
}