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
Parents
39
On metadata context in Database Forensics
Martin S. Olivier · Digital Investigation · 2008 · 105 citations
Contribution to a theory of database reverse engineering
Jean-Luc Hainaut, M. Chandelon, C. Tonneau et al. · 2002 · 80 citations
CDBFIP: Common Database Forensic Investigation Processes for Internet of Things
Arafat Al-Dhaqm, Shukor Abd Razak, Siti Hajar Othman et al. · IEEE Access · 2017 · 63 citations · Full text
1–5 of 39
81
5
h-index
5
h-index
4
h-index
4
h-index
3
h-index
1–5 of 81
31
University of Technology Malaysia
Johor Bahru, Malaysia
5 h-index
22 publications
1.1K citations

University of Namur
Namur, Belgium
4 h-index
16 publications
609 citations
University of Aden
Aden, Yemen
3 h-index
3 publications
185 citations
University of Arizona
Tucson, United States
3 h-index
6 publications
256 citations

DePaul University
Chicago, United States
3 h-index
10 publications
240 citations
SBA Research
Vienna, Austria
2 h-index
6 publications
222 citations
The University of Texas at San Antonio
San Antonio, United States
2 h-index
2 publications
125 citations
Grier Forensics (United States)
Baltimore, United States
2 h-index
2 publications
67 citations
1–8 of 31
8 publications · 364 citations
8
h-index
TODS · 2 publications · 90 citations
2
h-index
2 publications · 125 citations
2
h-index
Repository · 1 publications · 42 citations
1
h-index
JCP · 1 publications · 17 citations
1
h-index
1–5