Bot Traffic Detection

Bot Traffic Detection is a methodological framework within website traffic analysis that identifies and distinguishes automated traffic generated by bots from human-driven activity through behavioral pattern analysis and signature-based filtering.

201

Publications

10.9K

Citations

561

Authors

252

Institutions

Publications per year

2017–2026

77

Authors

561

  1. AA
    Ali A. Ghorbani

    University of New Brunswick, Canada

    6 publications · 1K citations

    6

    h-index

  2. GS
    Grażyna Suchacka

    University of Opole, Poland

    6 publications · 168 citations

    6

    h-index

  3. WL
    Wei Lu

    University of British Columbia, Canada

    5 publications · 752 citations

    5

    h-index

  4. JM
    Jens Myrup Pedersen

    Aalborg University, Denmark

    4 publications · 215 citations

    4

    h-index

  5. MS
    Muhammad Shafiq

    Guangzhou University, China

    4 publications · 975 citations

    4

    h-index

1–5 of 561

Venues

  1. Computer Networks

    5 publications · 200 citations

    5

    h-index

  2. Computers & Security

    5 publications · 538 citations

    5

    h-index

  3. Information Sciences

    4 publications · 386 citations

    4

    h-index

  4. arXiv (Cornell University)

    Repository · 3 publications · 96 citations

    3

    h-index

  5. IEEE Transactions on Network and Service Management

    TNSM · 3 publications · 159 citations

    3

    h-index

1–5