User Behavior Metrics

User Behavior Metrics is a security metric that quantifies and analyzes patterns, anomalies, and risk indicators in individual or group user activities within a system to assess compliance, detect insider threats, and evaluate the effectiveness of security controls.

502

Publications

31K

Citations

1.6K

Authors

565

Institutions

Publications per year

2017–2026

188

Authors

1.6K

  1. AR
    Alexander Raake

    Deutsche Telekom (Germany), Germany

    4 publications · 60 citations

    4

    h-index

  2. LF
    Lorrie Faith Cranor

    Carnegie Mellon University, United States

    4 publications · 488 citations

    4

    h-index

  3. SE
    Serge Egelman

    University of California, Berkeley, United States

    4 publications · 530 citations

    4

    h-index

  4. JL
    Jure Leskovec

    Stanford University, United States

    4 publications · 2.5K citations

    4

    h-index

  5. WR
    Werner Robitza

    Technische Universität Ilmenau, Germany

    3 publications · 46 citations

    3

    h-index

1–5 of 1.6K

Venues

  1. 8

    h-index

  2. arXiv (Cornell University)

    Repository · 7 publications · 206 citations

    7

    h-index

  3. IEEE Access

    7 publications · 162 citations

    7

    h-index

  4. 5

    h-index

  5. Computers in Human Behavior

    5 publications · 452 citations

    5

    h-index

1–5