False Acceptance Rate Analysis

False Acceptance Rate Analysis is a systematic metric used in risk-based authentication that quantifies the frequency with which unauthorized users are incorrectly authenticated as legitimate, distinguishing it from other authentication error analyses by focusing specifically on Type I errors in identity verification systems.

116

Publications

4.7K

Citations

321

Authors

128

Institutions

Publications per year

2017–2026

14

Authors

321

  1. DM
    Driss Matrouf

    Laboratoire Informatique d'Avignon, France

    3 publications · 165 citations

    3

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  2. JB
    Jean-François Bonastre

    Laboratoire Informatique d'Avignon, France

    3 publications · 165 citations

    3

    h-index

  3. JB
    Jason Brand

    University of Wales, United Kingdom

    3 publications · 87 citations

    3

    h-index

  4. JM
    J.S. Mason

    Swansea University, United Kingdom

    3 publications · 87 citations

    3

    h-index

  5. CF
    Corinne Fredouille

    Laboratoire Informatique d'Avignon, France

    3 publications · 165 citations

    3

    h-index

1–5 of 321

Venues

  1. 3

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  2. 3

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  3. Journal of Computer Science

    3 publications · 70 citations

    3

    h-index

  4. Procedia Computer Science

    3 publications · 35 citations

    3

    h-index

  5. 2

    h-index

1–5