Database Artifact Analysis

Database Artifact Analysis is the systematic examination of residual, latent, or reconstructed data elements and structures within database systems that persist beyond their active lifecycle, distinguishing it from general forensic analysis by focusing specifically on the identification, interpretation, and validation of artifacts arising from database transactions, manipulations, and storage mechanisms.

39

Publications

1.5K

Citations

81

Authors

31

Institutions

Publications per year

2017–2026

10

Authors

81

  1. JH
    Jean-Luc Hainaut

    University of Namur, Belgium

    5 publications · 199 citations

    5

    h-index

  2. SA
    Shukor Abd Razak

    University of Technology Malaysia, Malaysia

    5 publications · 253 citations

    5

    h-index

  3. JW
    James Wagner

    University of Michigan, United States

    4 publications · 97 citations

    4

    h-index

  4. HK
    Harmeet Kaur Khanuja

    Savitribai Phule Pune University, India

    4 publications · 100 citations

    4

    h-index

  5. RT
    Richard T. Snodgrass

    University of Arizona, United States

    3 publications · 128 citations

    3

    h-index

1–5 of 81

Venues

  1. Digital Investigation

    8 publications · 364 citations

    8

    h-index

  2. ACM Transactions on Database Systems

    TODS · 2 publications · 90 citations

    2

    h-index

  3. IEEE Access

    2 publications · 125 citations

    2

    h-index

  4. Repository of the University of Namur

    Repository · 1 publications · 42 citations

    1

    h-index

  5. Journal of Computers

    JCP · 1 publications · 17 citations

    1

    h-index

1–5