Behavioral Bot Detection

Behavioral Bot Detection is a method within bot detection that identifies automated agents by analyzing patterns of interaction and temporal dynamics characteristic of non-human behavior, distinguishing itself from content- or signature-based approaches through its focus on operational conduct.

79

Publications

4K

Citations

245

Authors

114

Institutions

Publications per year

2017–2026

43

Authors

245

  1. HW
    Haining Wang

    William & Mary, United States

    4 publications · 165 citations

    4

    h-index

  2. RV
    Rubén Vera-Rodríguez

    Universidad Autónoma de Madrid, Spain

    3 publications · 92 citations

    3

    h-index

  3. GT
    Gareth Tyson

    Queen Mary University of London, United Kingdom

    3 publications · 210 citations

    3

    h-index

  4. AR
    Ah Reum Kang

    Soonchunhyang University, South Korea

    3 publications · 162 citations

    3

    h-index

  5. AM
    Aythami Morales

    Universidad Autónoma de Madrid, Spain

    3 publications · 92 citations

    3

    h-index

1–5 of 245

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 34 citations

    2

    h-index

  2. Computer Networks

    1 publications · 57 citations

    1

    h-index

  3. ACM Transactions on the Web

    TWEB · 1 publications · 62 citations

    1

    h-index

  4. Security and Communication Networks

    1 publications · 11 citations

    1

    h-index

  5. First Monday

    1 publications · 14 citations

    1

    h-index

1–5