Encrypted Traffic Analysis
Encrypted Traffic Analysis is a network traffic analysis technique that identifies and characterizes communication patterns and potential threats within encrypted data flows by examining metadata, timing, and behavioral attributes without decrypting the payload.
281
Publications
19.2K
Citations
893
Authors
316
Institutions
Publications per year
2017–2026
204
281
End-to-end encrypted traffic classification with one-dimensional convolution neural networks
Wei Wang, Ming Zhu, Jinlin Wang et al. · 2017 · 857 citations
FS-Net: A Flow Sequence Network For Encrypted Traffic Classification
Chang Liu, Longtao He, Gang Xiong et al. · 2019 · 495 citations
Peek-a-Boo, I Still See You: Why Efficient Traffic Analysis Countermeasures Fail
Kevin P. Dyer, Scott E. Coull, Thomas Ristenpart et al. · 2012 · 456 citations
1–5 of 281
893
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1–5 of 893
316
Institute of Information Engineering
Beijing, China
13 h-index
54 publications
7K citations

Chinese Academy of Sciences
Beijing, China
13 h-index
41 publications
6.8K citations
Tsinghua University
Beijing, China
11 h-index
27 publications
2K citations
Dalhousie University
Halifax, Canada
10 h-index
25 publications
1.3K citations

Beijing Institute of Technology
Beijing, China
9 h-index
30 publications
3.6K citations
University of Chinese Academy of Sciences
Beijing, China
9 h-index
37 publications
5.3K citations

Southeast University
Nanjing, China
8 h-index
35 publications
760 citations

Beijing University of Posts and Telecommunications
Beijing, China
7 h-index
18 publications
1K citations
1–8 of 316
13 publications · 1K citations
13
h-index
9 publications · 943 citations
9
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8 publications · 1.1K citations
8
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TNSM · 6 publications · 303 citations
6
h-index
6 publications · 199 citations
5
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