Attack Traffic Classification
Attack Traffic Classification is a method in cybersecurity that distinguishes malicious network traffic associated with denial-of-service attacks from legitimate traffic by analyzing distinctive behavioral and statistical patterns in data flows.
537
Publications
36.7K
Citations
1.7K
Authors
684
Institutions
Publications per year
2017–2026
364
Parents
537
IEEE Security & Privacy · 2004 · 1.5K citations
Inferring Internet denial-of-service activity
David Moore, Colleen Shannon, Douglas J. Brown et al. · ACM Transactions on Computer Systems · 2006 · 790 citations
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Chinese Academy of Sciences
Beijing, China
8 h-index
19 publications
665 citations
Panjab University
Chandigarh, India
7 h-index
16 publications
822 citations
Florida Atlantic University
Boca Raton, United States
7 h-index
25 publications
628 citations

Universiti Sains Malaysia
George Town, Malaysia
6 h-index
19 publications
637 citations

Deakin University
Burwood, Australia
6 h-index
14 publications
1.7K citations
Tsinghua University
Beijing, China
6 h-index
27 publications
1.1K citations
Vellore Institute of Technology University
Vellore, India
5 h-index
8 publications
171 citations
University of New Brunswick
Fredericton, Canada
5 h-index
19 publications
14.2K citations
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27 publications · 1.7K citations
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9 publications · 427 citations
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9 publications · 391 citations
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