False Rejection Rate

False Rejection Rate is a performance metric in behavioral authentication systems that quantifies the proportion of legitimate access attempts incorrectly denied by the system due to the failure in recognizing genuine user behavioral patterns.

458

Publications

25.3K

Citations

1.3K

Authors

491

Institutions

Publications per year

2017–2026

81

Variants

Frr

Authors

1.3K

  1. JO
    James O. Westgard

    University of Wisconsin–Madison, United States

    8 publications · 602 citations

    8

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  2. CS
    Chao Shen

    Xi'an Jiaotong University, China

    6 publications · 526 citations

    6

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  3. XG
    Xiaohong Guan

    Xi'an Jiaotong University, China

    5 publications · 345 citations

    5

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  4. MV
    Mayank Vatsa

    Indraprastha Institute of Information Technology Delhi, India

    5 publications · 564 citations

    5

    h-index

  5. JP
    Joseph P. Romano

    Stanford University, United States

    5 publications · 736 citations

    5

    h-index

1–5 of 1.3K

Venues

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  2. 7

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