Device-based Behavioral Biometrics
Device-Based Behavioral Biometrics is a behavioral biometric modality that uniquely identifies individuals based on their distinctive patterns of interaction with computing devices, such as typing dynamics, touch gestures, or mouse movements, as distinguished from physiological or knowledge-based authentication methods.
25
Publications
1.3K
Citations
64
Authors
40
Institutions
Publications per year
2017–2026
15
Parents
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The Anatomy of Smartphone Unlocking
Marian Harbach, Alexander De Luca, Serge Egelman · 2016 · 114 citations
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International Computer Science Institute
Berkeley, United States
2 h-index
3 publications
154 citations
University of California, Berkeley
Berkeley, United States
2 h-index
3 publications
154 citations

Northwestern Polytechnical University
Xi'an, China
2 h-index
8 publications
486 citations
Google (Switzerland)
Zurich, Switzerland
2 h-index
2 publications
134 citations

University of Trento
Trento, Italy
1 h-index
2 publications
94 citations
University of Jordan
Amman, Jordan
1 h-index
2 publications
64 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
1 publications
12 citations
Toronto Metropolitan University
Toronto, Canada
1 h-index
1 publications
27 citations
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Conference · 1 publications · 54 citations
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1 publications · 39 citations
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1 publications · 27 citations
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ComST · 1 publications · 215 citations
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1 publications · 47 citations
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