An eye gaze-driven metric for estimating the strength of graphical passwords based on image hotspots
Author:
Affiliation:
1. University of Cyprus & Cognitive UX Ltd., Nicosia, Cyprus
2. Heidelberg, Germany & University of Cyprus, Nicosia, Cyprus
3. University of Patras, Rio, Patras, Greece
4. University of Cyprus, Nicosia, Cyprus
Funder
Horizon 2020 Framework Programme
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3377325.3377537
Reference37 articles.
1. Graphical Passwords in the Wild
2. A rotary dial for gaze-based PIN entry
3. Increasing the security of gaze-based cued-recall graphical passwords using saliency masks
4. A fuzzy approach to the evaluation of image complexity
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