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

Authors

1K

  1. LS
    Luca Salgarelli

    University of Brescia, Italy

    9 publications · 663 citations

    9

    h-index

  2. FG
    Francesco Gringoli

    University of Brescia, Italy

    9 publications · 663 citations

    9

    h-index

  3. MM
    Marco Mellia

    Politecnico di Torino, Italy

    8 publications · 343 citations

    8

    h-index

  4. ND
    Nick Duffield

    AT&T (United States), United States

    8 publications · 745 citations

    8

    h-index

  5. AP
    Antonio Pescapè

    University of Naples Federico II, Italy

    8 publications · 276 citations

    8

    h-index

1–5 of 1K

Venues

  1. ACM SIGCOMM Computer Communication Review

    CCR · 15 publications · 3.1K citations

    14

    h-index

  2. IEEE/ACM Transactions on Networking

    TON · 12 publications · 2K citations

    12

    h-index

  3. 6

    h-index

  4. ACM SIGMETRICS Performance Evaluation Review

    PER · 5 publications · 196 citations

    5

    h-index

  5. 4

    h-index

1–5