Botnet Detection

Botnet Detection is a specialized method within intrusion detection systems that identifies coordinated networks of compromised devices (bots) by analyzing communication patterns and behavioral anomalies distinct from other forms of malware or network threats.

769

Publications

44.3K

Citations

2.1K

Authors

762

Institutions

Publications per year

2017–2026

407

Authors

2.1K

  1. AN
    A. Nur Zincir‐Heywood

    Dalhousie University, Canada

    10 publications · 236 citations

    10

    h-index

  2. AA
    Ali A. Ghorbani

    University of New Brunswick, Canada

    10 publications · 1.1K citations

    10

    h-index

  3. QN
    Quoc-Dung Ngo

    Posts and Telecommunications Institute of Technology

    8 publications · 429 citations

    8

    h-index

  4. WL
    Wenke Lee

    Georgia Institute of Technology, United States

    8 publications · 2.5K citations

    8

    h-index

  5. MH
    Mohammad Hammoudeh

    Manchester Metropolitan University, United Kingdom

    8 publications · 912 citations

    8

    h-index

1–5 of 2.1K

Venues

  1. IEEE Access

    28 publications · 1.5K citations

    22

    h-index

  2. Computers & Security

    15 publications · 1.9K citations

    15

    h-index

  3. Sensors

    12 publications · 829 citations

    11

    h-index

  4. arXiv (Cornell University)

    Repository · 11 publications · 341 citations

    11

    h-index

  5. Security and Communication Networks

    11 publications · 480 citations

    11

    h-index

1–5