Cloud Artifact Analysis

Cloud Artifact Analysis is a forensic investigation method that involves the systematic identification, collection, and examination of digital artifacts within cloud environments to determine the nature, scope, and origin of security incidents, distinguished by its focus on ephemeral and distributed cloud-native data sources such as logs, virtual machine snapshots, container states, and configuration metadata.

21

Publications

718

Citations

37

Authors

24

Institutions

Publications per year

2017–2026

7

Authors

37

  1. GG
    George Grispos

    University of Glasgow, United Kingdom

    4 publications · 99 citations

    4

    h-index

  2. WB
    William Bradley Glisson

    University of South Alabama, United States

    4 publications · 99 citations

    4

    h-index

  3. KR
    Kim‐Kwang Raymond Choo

    The University of Texas at San Antonio, United States

    4 publications · 229 citations

    4

    h-index

  4. MD
    Mike Dickson

    University of Glasgow, United Kingdom

    2 publications · 27 citations

    2

    h-index

  5. JH
    J. Harold Pardue

    University of South Alabama, United States

    2 publications · 27 citations

    2

    h-index

1–5 of 37

Venues

  1. Digital Investigation

    5 publications · 259 citations

    5

    h-index

  2. Journal of Forensic Sciences

    JOFS · 2 publications · 41 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 28 citations

    2

    h-index

  4. Archives of Computational Methods in Engineering

    ARCME · 1 publications · 40 citations

    1

    h-index

  5. 1

    h-index

1–5