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

Authors

1.3K

  1. AK
    Anil K. Jain

    Michigan State University, United States

    7 publications · 364 citations

    7

    h-index

  2. IT
    Issa Traoré

    University of Victoria, Canada

    5 publications · 737 citations

    5

    h-index

  3. RS
    Raúl Sánchez-Reillo

    Universidad Carlos III de Madrid, Spain

    4 publications · 170 citations

    4

    h-index

  4. MB
    Michael Blumenstein

    Griffith University, Australia

    4 publications · 207 citations

    4

    h-index

  5. DH
    Dimitrios Hatzinakos

    University of Toronto, Canada

    4 publications · 210 citations

    4

    h-index

1–5 of 1.3K

Venues

  1. 11

    h-index

  2. 10

    h-index

  3. Procedia Computer Science

    11 publications · 294 citations

    10

    h-index

  4. arXiv (Cornell University)

    Repository · 10 publications · 418 citations

    10

    h-index

  5. International Journal of Computer Applications

    8 publications · 146 citations

    8

    h-index

1–5