Sensitive Data Handling is a data governance practice that specifically governs the collection, storage, access, and processing of personal or confidential information requiring heightened ethical and legal protections due to its potential to cause harm if misused.
42
Publications
1.6K
Citations
122
Authors
66
Institutions
Publications per year
2017–2026
16
Publications
42
Asking sensitive questions indirectly
Anthony Y. C. Kuk · Biometrika · 1990 · 284 citations
Shredding your garbage: reducing data lifetime through secure deallocation
Jim Chow, Ben Pfaff, Tal Garfinkel et al. · 2005 · 160 citations
1–5 of 42
Authors
122
- JE
2
h-index
- AY
2
h-index
- MD
2
h-index
- JD
1
h-index
- CBChristoph Bier
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Germany
1 publications · 19 citations
1
h-index
1–5 of 122
Institutions
66
University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
2 publications
304 citations
University of Oregon
Eugene, United States
2 h-index
2 publications
47 citations
Singapore Management University
Singapore, Singapore
2 h-index
2 publications
29 citations
COMSATS University Islamabad
Islamabad, Pakistan
1 h-index
4 publications
172 citations
All India Institute of Medical Sciences
New Delhi, India
1 h-index
1 publications
14 citations
RMIT Europe
Barcelona, Spain
1 h-index
1 publications
34 citations
University of Ulster
Coleraine, United Kingdom
1 h-index
1 publications
15 citations
Cochin University of Science and Technology
Ernakulam, India
1 h-index
2 publications
30 citations
1–8 of 66
Venues
- Biometrika
2 publications · 304 citations
2
h-index
- Applied Intelligence
2 publications · 38 citations
2
h-index
- Journal of Marketing Research
2 publications · 45 citations
2
h-index
- Applied Nursing Research
ANR · 1 publications · 21 citations
1
h-index
- Journal of Social Philosophy
1 publications · 89 citations
1
h-index
1–5