Automated Forensics

Automated Forensics is an academic construct in security automation that comprises systematic methods for enabling machines to autonomously collect, analyze, and preserve digital evidence following security incidents, distinguished from related forensic approaches by its emphasis on minimal human intervention and integration with real-time threat detection systems.

80

Publications

2.2K

Citations

221

Authors

106

Institutions

Publications per year

2017–2026

33

Authors

221

  1. TE
    Thomas E. Daniels

    Iowa State University, United States

    3 publications · 96 citations

    3

    h-index

  2. HS
    Hein S. Venter

    University of Pretoria, South Africa

    3 publications · 102 citations

    3

    h-index

  3. MS
    Mark Scanlon

    University College Dublin, Ireland

    2 publications · 73 citations

    2

    h-index

  4. NC
    Nathan Clarke

    University of Plymouth, United Kingdom

    2 publications · 40 citations

    2

    h-index

  5. SF
    Steven Furnell

    University of Plymouth, United Kingdom

    2 publications · 40 citations

    2

    h-index

1–5 of 221

Venues

  1. Digital Investigation

    5 publications · 163 citations

    5

    h-index

  2. 3

    h-index

  3. Digital Forensic Research Workshop

    Conference · 2 publications · 54 citations

    2

    h-index

  4. SSRN Electronic Journal

    Repository · 2 publications · 42 citations

    2

    h-index

  5. Forensic Science International Genetics

    FSI · 1 publications · 12 citations

    1

    h-index

1–5