Behavioral Pattern Modeling

Behavioral Pattern Modeling is a computational method that identifies and quantifies individual user behavior characteristics through the analysis of interaction dynamics, usage rhythms, and contextual actions to establish adaptive authentication decision frameworks.

164

Publications

9.5K

Citations

521

Authors

232

Institutions

Publications per year

2017–2026

53

Authors

521

  1. RA
    Roy A. Maxion

    Carnegie Mellon University, United States

    2 publications · 77 citations

    2

    h-index

  2. HL
    Huan Liu

    Arizona State University, United States

    2 publications · 376 citations

    2

    h-index

  3. MP
    Marinella Petrocchi

    Institute of Informatics and Telematics, Italy

    2 publications · 211 citations

    2

    h-index

  4. PC
    Peng Cui

    Tsinghua University, China

    2 publications · 140 citations

    2

    h-index

  5. LC
    Longbing Cao

    University of Technology Sydney, Australia

    2 publications · 216 citations

    2

    h-index

1–5 of 521

Venues

  1. Computers & Security

    6 publications · 756 citations

    6

    h-index

  2. Expert Systems with Applications

    3 publications · 150 citations

    3

    h-index

  3. Computers in Human Behavior

    3 publications · 1.2K citations

    3

    h-index

  4. IEEE Intelligent Systems

    3 publications · 329 citations

    3

    h-index

  5. Wireless Networks

    3 publications · 40 citations

    3

    h-index

1–5