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
Parents
201
From throw-away traffic to bots: detecting the rise of DGA-based malware
Manos Antonakakis, Roberto Perdisci, Yacin Nadji et al. · 2012 · 409 citations
Detecting algorithmically generated malicious domain names
Sandeep Yadav, Ashwath Kumar Krishna Reddy, A. L. Narasimha Reddy et al. · 2010 · 352 citations
Botnet detection based on traffic behavior analysis and flow intervals
David Zhao, Issa Traoré, Bassam Sayed et al. · Computers & Security · 2013 · 342 citations
1–5 of 201
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252
Carnegie Mellon University
Pittsburgh, United States
6 h-index
10 publications
412 citations
University of New Brunswick
Fredericton, Canada
6 h-index
19 publications
2.5K citations

University of Opole
Opole, Poland
6 h-index
7 publications
199 citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
18 publications
2.6K citations
Microsoft (United States)
Redmond, United States
5 h-index
11 publications
984 citations
Korea University
Seoul, South Korea
4 h-index
10 publications
854 citations
University of Michigan
Ann Arbor, United States
4 h-index
10 publications
342 citations
Dalhousie University
Halifax, Canada
3 h-index
8 publications
318 citations
1–8 of 252
5 publications · 200 citations
5
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5 publications · 538 citations
5
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4 publications · 386 citations
4
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Repository · 3 publications · 96 citations
3
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TNSM · 3 publications · 159 citations
3
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1–5