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
769
An empirical comparison of botnet detection methods
Sebastián García, Martin Grill, Jan Stiborek et al. · Computers & Security · 2014 · 917 citations · Full text
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Georgia Institute of Technology
Atlanta, United States
15 h-index
39 publications
9.1K citations
University of Malaya
Kuala Lumpur, Malaysia
13 h-index
30 publications
2K citations
Dalhousie University
Halifax, Canada
10 h-index
30 publications
771 citations
University of New Brunswick
Fredericton, Canada
10 h-index
26 publications
2.6K citations

King Abdulaziz University
Jeddah, Saudi Arabia
8 h-index
21 publications
974 citations

King Saud University
Riyadh, Saudi Arabia
8 h-index
18 publications
792 citations
Posts and Telecommunications Institute of Technology
Hà Đông, Vietnam
8 h-index
9 publications
466 citations

Chinese Academy of Sciences
Beijing, China
7 h-index
15 publications
610 citations
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28 publications · 1.5K citations
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15 publications · 1.9K citations
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12 publications · 829 citations
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Repository · 11 publications · 341 citations
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11 publications · 480 citations
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