False Acceptance Rate
False Acceptance Rate is a performance metric in behavioral authentication systems that quantifies the frequency with which unauthorized users are incorrectly authenticated as legitimate users due to the system's erroneous acceptance of imposter behavior patterns.
475
Publications
20.6K
Citations
1.3K
Authors
439
Institutions
Publications per year
2017–2026
114
Parents
475
Continuous mobile authentication using touchscreen gestures
Tao Feng, Ziyi Liu, Kyeong-An Kwon et al. · 2012 · 308 citations
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Michigan State University
East Lansing, United States
8 h-index
14 publications
1K citations
Indian Institute of Technology Delhi
New Delhi, India
6 h-index
16 publications
1.2K citations

University of Notre Dame
Notre Dame, United States
6 h-index
19 publications
763 citations
Nanyang Technological University
Singapore, Singapore
6 h-index
12 publications
930 citations

Chinese Academy of Sciences
Beijing, China
6 h-index
16 publications
715 citations
Shenzhen Institutes of Advanced Technology
Shenzhen, China
5 h-index
16 publications
301 citations

University of Toronto
Toronto, Canada
5 h-index
21 publications
924 citations

University of Victoria
Victoria, Canada
5 h-index
12 publications
1.6K citations
1–8 of 439
12 publications · 841 citations
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11 publications · 466 citations
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11 publications · 294 citations
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Repository · 10 publications · 418 citations
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8 publications · 146 citations
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