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

Authors

164

  1. DJ
    Dingde Jiang

    Northeastern University, China

    5 publications · 406 citations

    5

    h-index

  2. ND
    Nick Duffield

    AT&T (United States), United States

    3 publications · 481 citations

    3

    h-index

  3. DZ
    Dafang Zhang

    Hunan University, China

    3 publications · 111 citations

    3

    h-index

  4. PN
    Paolo Nesi

    University of Florence, Italy

    3 publications · 59 citations

    3

    h-index

  5. KX
    Kun Xie

    Hunan University, China

    3 publications · 128 citations

    3

    h-index

1–5 of 164

Venues

  1. IEEE/ACM Transactions on Networking

    TON · 3 publications · 436 citations

    3

    h-index

  2. 2

    h-index

  3. Future Generation Computer Systems

    FGCS · 2 publications · 97 citations

    2

    h-index

  4. ACM SIGCOMM Computer Communication Review

    CCR · 2 publications · 255 citations

    2

    h-index

  5. IEEE Transactions on Dependable and Secure Computing

    TDSC · 1 publications · 25 citations

    1

    h-index

1–5