Risk-based Data Classification
Risk-Based Data Classification is a data classification framework that categorizes information based on the level of risk associated with its unauthorized disclosure, loss, or alteration, distinguishing itself from other classification schemes by prioritizing sensitivity and potential impact on organizational assets, compliance, and operations.
15
Publications
481
Citations
47
Authors
31
Institutions
Publications per year
2017–2026
10
Parents
15
1–5 of 15
47
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31
Tokyo University of Science
Tokyo, Japan
1 h-index
2 publications
24 citations

Universidad Autónoma de Madrid
Madrid, Spain
1 h-index
3 publications
117 citations
General Dynamics (United States)
Reston, United States
1 h-index
1 publications
127 citations
Roche (Switzerland)
Basel, Switzerland
1 h-index
1 publications
12 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
2 publications
66 citations
Menarini Group (Italy)
Florence, Italy
1 h-index
1 publications
12 citations
Université Paris-Saclay
Gif-sur-Yvette, France
1 h-index
2 publications
44 citations
Istituto di Matematica Applicata e Tecnologie Informatiche
Pavia, Italy
1 h-index
1 publications
39 citations
1–8 of 31
2 publications · 66 citations
2
h-index
1 publications · 14 citations
1
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TIRS · 1 publications · 12 citations
1
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1 publications · 12 citations
1
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Repository · 1 publications · 18 citations
1
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