Intra-user Variability

Intra-User Variability is a behavioral authentication metric that quantifies the natural fluctuations in an individual's behavioral patterns over time, distinguishing it from inter-user differences by focusing exclusively on intra-individual deviations in biometric or interaction-based traits.

33

Publications

1K

Citations

139

Authors

59

Institutions

Publications per year

2017–2026

12

Authors

139

  1. JR
    Jonas Richiardi

    École Polytechnique Fédérale de Lausanne, Switzerland

    1 publications · 11 citations

    1

    h-index

  2. HE
    Heather Edney-Parker

    Dr. Everett Chalmers Regional Hospital, Canada

    1 publications · 15 citations

    1

    h-index

  3. AF
    Alvin F. Martín

    National Institute of Standards and Technology, United States

    1 publications · 28 citations

    1

    h-index

  4. CD
    Clifton D. Fuller

    The University of Texas MD Anderson Cancer Center, United States

    1 publications · 12 citations

    1

    h-index

  5. JK
    Jayashree Kalpathy–Cramer

    Massachusetts General Hospital, United States

    1 publications · 12 citations

    1

    h-index

1–5 of 139

Venues

  1. PLoS ONE

    2 publications · 72 citations

    2

    h-index

  2. IEEE Transactions on Biomedical Engineering

    1 publications · 23 citations

    1

    h-index

  3. 1

    h-index

  4. PubMed Central

    Repository · 1 publications · 14 citations

    1

    h-index

  5. Laboratory Medicine

    1 publications · 15 citations

    1

    h-index

1–5