Statistical Traffic Analysis
Statistical Traffic Analysis is a method within the field of network forensics and network traffic analysis that characterizes and identifies communication patterns by applying statistical models and techniques to measurable traffic attributes, distinguishing it from other analysis approaches through its reliance on quantitative metrics and probabilistic inference rather than content inspection or signature matching.
451
Publications
29.5K
Citations
1K
Authors
425
Institutions
Publications per year
2017–2026
57
451
1–5 of 451
1K
9
h-index
9
h-index
8
h-index
8
h-index
8
h-index
1–5 of 1K
425
AT&T (United States)
Bedminster, United States
15 h-index
47 publications
5.8K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
12 h-index
28 publications
2.8K citations
Politecnico di Torino
Turin, Italy
10 h-index
29 publications
1.2K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
9 h-index
28 publications
1K citations
University of Brescia
Brescia, Italy
9 h-index
32 publications
2.5K citations

Centre National de la Recherche Scientifique
Paris, France
9 h-index
13 publications
2.3K citations
Texas A&M University
College Station, United States
8 h-index
23 publications
788 citations

University of Naples Federico II
Naples, Italy
7 h-index
24 publications
896 citations
1–8 of 425
CCR · 15 publications · 3.1K citations
14
h-index
TON · 12 publications · 2K citations
12
h-index
TRR · 6 publications · 136 citations
6
h-index
PER · 5 publications · 196 citations
5
h-index
4 publications · 140 citations
4
h-index
1–5