Data Classification Schemes
Data Classification Schemes is a formal framework that categorizes data into hierarchical levels based on sensitivity, value, and regulatory requirements to support consistent data handling, access control, and compliance within an organization.
150
Publications
18.4K
Citations
442
Authors
232
Institutions
Publications per year
2017–2026
32
Variants
Data Classification FrameworksInformation Classification Schemes
Parents
150
1–5 of 150
442
Commonwealth Scientific and Industrial Research Organisation, Australia
2 publications · 136 citations
2
h-index
2
h-index
2
h-index
2
h-index
Commonwealth Scientific and Industrial Research Organisation, Australia
2 publications · 136 citations
2
h-index
1–5 of 442
232

United States Naval Research Laboratory
Washington, United States
3 h-index
4 publications
1.5K citations
Kent State University
Kent, United States
3 h-index
3 publications
275 citations
AT&T (United States)
Bedminster, United States
2 h-index
2 publications
1K citations
Universitat Politècnica de Catalunya
Barcelona, Spain
2 h-index
2 publications
66 citations

The University of Queensland
Brisbane, Australia
2 h-index
6 publications
1.9K citations

University of Manchester
Manchester, United Kingdom
2 h-index
3 publications
463 citations
University of Connecticut
Storrs, United States
2 h-index
5 publications
98 citations
University of Kentucky
Lexington, United States
2 h-index
2 publications
165 citations
1–8 of 232
CCQ · 4 publications · 117 citations
4
h-index
3 publications · 137 citations
3
h-index
2 publications · 136 citations
2
h-index
2 publications · 1K citations
2
h-index
TPAMI · 2 publications · 156 citations
2
h-index
1–5