Botnet Traffic Detection is a network security analysis method that identifies malicious coordinated communication patterns generated by compromised devices within a botnet by distinguishing them from legitimate traffic flows based on behavioral, temporal, or signature-based anomalies.
364
Publications
25.9K
Citations
1K
Authors
442
Institutions
Publications per year
2017–2026
173
Parents
Publications
364
DDoS in the IoT: Mirai and Other Botnets
Constantinos Kolias, Georgios Kambourakis, Angelos Stavrou et al. · Computer · 2017 · 1.9K citations
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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1–5 of 1K
Institutions
442
Georgia Institute of Technology
Atlanta, United States
9 h-index
22 publications
8K citations
Dalhousie University
Halifax, Canada
9 h-index
27 publications
844 citations
University of New Brunswick
Fredericton, Canada
8 h-index
24 publications
2.7K citations
Korea University
Seoul, South Korea
6 h-index
17 publications
2.4K citations
University of Malaya
Kuala Lumpur, Malaysia
5 h-index
14 publications
1.1K citations
Birla Institute of Technology and Science - Hyderabad Campus
Hyderabad, India
4 h-index
9 publications
1K citations
University of Victoria
Victoria, Canada
4 h-index
11 publications
2.5K citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
6 publications
322 citations
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Venues
- IEEE Access
13 publications · 575 citations
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- Computer Networks
7 publications · 484 citations
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- Security and Communication Networks
6 publications · 139 citations
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- Computers & Security
5 publications · 1.5K citations
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- International Journal of Information Security
4 publications · 204 citations
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