Behavioral Traffic Analysis is a method within the field of network traffic analysis that identifies and characterizes patterns of communication by modeling the temporal, volumetric, and structural properties of network flows to detect anomalies or infer application- or user-level activities based on observed behavioral signatures rather than explicit content inspection.
160
Publications
9.2K
Citations
500
Authors
206
Institutions
Publications per year
2017–2026
29
Parents
Publications
160
Thomas Karagiannis, Konstantina Papagiannaki, Michalis Faloutsos · 2005 · 1K citations
Youtube traffic characterization
Phillipa Gill, Martin Arlitt, Zongpeng Li et al. · 2007 · 866 citations
Teunis J. Ott, T. V. Lakshman, Larry Wong · 1999 · 674 citations
Xiang Cai, Xin Cheng Zhang, Brijesh Joshi et al. · 2012 · 391 citations
1–5 of 160
Authors
500
- MM
6
h-index
- DR
5
h-index
- KX
5
h-index
- ZZ
5
h-index
- MS
4
h-index
1–5 of 500
Institutions
206
Politecnico di Torino
Turin, Italy
6 h-index
17 publications
1.1K citations
Télécom Paris
Palaiseau, France
6 h-index
11 publications
558 citations
Tsinghua University
Beijing, China
6 h-index
24 publications
696 citations
Intel (United States)
Santa Clara, United States
4 h-index
6 publications
1.5K citations
University of Zagreb
Zagreb, Croatia
4 h-index
10 publications
232 citations
University of Minnesota
Minneapolis, United States
4 h-index
13 publications
466 citations
Chinese Academy of Sciences
Beijing, China
3 h-index
9 publications
187 citations
Arizona State University
Tempe, United States
3 h-index
6 publications
254 citations
1–8 of 206
Venues
- Computer Networks
4 publications · 243 citations
4
h-index
- IEEE/ACM Transactions on Networking
TON · 4 publications · 246 citations
4
h-index
- Computers & Security
3 publications · 453 citations
3
h-index
- IEEE Access
3 publications · 50 citations
3
h-index
- HAL (Le Centre pour la Communication Scientifique Directe)
Repository · 2 publications · 36 citations
2
h-index
1–5