Traffic Reconstruction
Traffic Reconstruction is a network forensics method that systematically reassembles and interprets raw packet-level data into coherent communication sessions to reveal the original content and temporal sequence of network transactions.
51
Publications
3.6K
Citations
164
Authors
66
Institutions
Publications per year
2017–2026
23
Parents
51
Spatio-temporal compressive sensing and internet traffic matrices
Yin Zhang, Matthew Roughan, Walter Willinger et al. · 2009 · 362 citations · Full text
Deconstructing the Kazaa network
N. Leibowitz, Matei Ripeanu, Adam Wierzbicki · 2004 · 210 citations
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66
AT&T (United States)
Bedminster, United States
5 h-index
8 publications
1.4K citations

Hunan University
Changsha, China
4 h-index
16 publications
556 citations
The University of Texas at Austin
Austin, United States
4 h-index
6 publications
1.1K citations

Northeastern University
Shenyang, China
4 h-index
12 publications
857 citations

Beijing University of Technology
Beijing, China
3 h-index
7 publications
417 citations
University of Florence
Florence, Italy
3 h-index
12 publications
199 citations

University of Electronic Science and Technology of China
Chengdu, China
3 h-index
4 publications
360 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
2 publications
64 citations
1–8 of 66
TON · 3 publications · 436 citations
3
h-index
2 publications · 157 citations
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FGCS · 2 publications · 97 citations
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CCR · 2 publications · 255 citations
2
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TDSC · 1 publications · 25 citations
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