Traffic Clustering
Traffic Clustering is a network traffic analysis method that partitions traffic flows into homogeneous groups based on shared behavioral or statistical characteristics to facilitate anomaly detection, classification, or visualization.
240
Publications
14.1K
Citations
736
Authors
299
Institutions
Publications per year
2017–2026
99
Variants
Network Traffic Clustering
Parents
240
Constrained K-means Clustering with Background Knowledge
Kiri L. Wagstaff, Claire Cardie, Seth Rogers et al. · 2001 · 2.4K citations
Traffic classification using clustering algorithms
Jeffrey Erman, Martin Arlitt, Anirban Mahanti · 2006 · 706 citations
1–5 of 240
736
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1–5 of 736
299
Tsinghua University
Beijing, China
8 h-index
32 publications
1.1K citations

Southeast University
Nanjing, China
6 h-index
17 publications
559 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
5 h-index
7 publications
250 citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
17 publications
478 citations

Sun Yat-sen University
Guangzhou, China
5 h-index
12 publications
331 citations

Chinese Academy of Sciences
Beijing, China
5 h-index
18 publications
554 citations

Deakin University
Burwood, Australia
5 h-index
15 publications
800 citations

Shizuoka University
Shizuoka, Japan
4 h-index
6 publications
222 citations
1–8 of 299
TRR · 9 publications · 271 citations
9
h-index
8 publications · 243 citations
8
h-index
6 publications · 429 citations
6
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5 publications · 189 citations
5
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4 publications · 286 citations
4
h-index
1–5