Attack Chain Reconstruction

Attack Chain Reconstruction is a forensic cybersecurity method that systematically identifies, sequences, and analyzes the discrete stages of a cyberattack to reconstruct the chronological progression and tactical logic of adversarial actions within a target environment.

7

Publications

341

Citations

25

Authors

8

Institutions

Publications per year

2017–2026

5

Authors

25

  1. AB
    Adam Bates

    University of Illinois Urbana-Champaign, United States

    1 publications · 129 citations

    1

    h-index

  2. YL
    Yingxu Lai

    Beijing University of Technology, China

    1 publications · 43 citations

    1

    h-index

  3. ML
    Mark Lemay

    University of Illinois Urbana-Champaign, United States

    1 publications · 129 citations

    1

    h-index

  4. YX
    Yinglian Xie

    Microsoft (United States), United States

    1 publications · 52 citations

    1

    h-index

  5. BM
    Beifeng Mao

    Beijing University of Technology, China

    1 publications · 43 citations

    1

    h-index

1–5 of 25

Venues

  1. Computer Science Review

    1 publications · 39 citations

    1

    h-index

  2. Journal of Information Security and Applications

    JISA · 1 publications · 16 citations

    1

    h-index

  3. Computer Networks

    1 publications · 43 citations

    1

    h-index

  4. Expert Systems with Applications

    1 publications · 31 citations

    1

    h-index

  5. IEEE Network

    1 publications · 31 citations

    1

    h-index

1–5