Cloud Evidence Acquisition

Cloud Evidence Acquisition is a forensic method that systematically identifies, collects, and preserves digital evidence from cloud computing environments in a manner that ensures legal admissibility and integrity, distinguishing it from traditional evidence acquisition by its reliance on virtualized, distributed, and provider-mediated storage architectures.

64

Publications

3.3K

Citations

145

Authors

77

Institutions

Publications per year

2017–2026

19

Authors

145

  1. JD
    Josiah Dykstra

    University of Maryland, College Park, United States

    4 publications · 564 citations

    4

    h-index

  2. KR
    Kim‐Kwang Raymond Choo

    The University of Texas at San Antonio, United States

    4 publications · 372 citations

    4

    h-index

  3. HS
    Hein S. Venter

    University of Pretoria, South Africa

    3 publications · 78 citations

    3

    h-index

  4. AT
    Alan T. Sherman

    University of Maryland, Baltimore County, United States

    3 publications · 521 citations

    3

    h-index

  5. BM
    Ben Martini

    University of South Australia, Australia

    3 publications · 343 citations

    3

    h-index

1–5 of 145

Venues

  1. Digital Investigation

    6 publications · 1K citations

    6

    h-index

  2. Procedia Computer Science

    3 publications · 59 citations

    3

    h-index

  3. 3

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 160 citations

    2

    h-index

  5. IEEE Cloud Computing

    2 publications · 77 citations

    2

    h-index

1–5