P-sensitivity
p-Sensitivity is a privacy-preserving principle in database security that extends the k-anonymity model by requiring that, within each equivalence class of a protected dataset, at least p distinct values of a sensitive attribute must be present to limit attribute disclosure risks.
41
Publications
1.9K
Citations
123
Authors
56
Institutions
Publications per year
2017–2026
8
Parents
41
1–5 of 41
123
3
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 123
56

Northern Kentucky University
Highland Heights, United States
3 h-index
6 publications
844 citations

University of South Australia
Adelaide, Australia
2 h-index
2 publications
87 citations

University of Southern Queensland
Toowoomba, Australia
2 h-index
5 publications
187 citations
Nanjing Agricultural University
Nanjing, China
2 h-index
13 publications
520 citations

Umeå University
Umeå, Sweden
1 h-index
1 publications
15 citations
Vellore Institute of Technology University
Vellore, India
1 h-index
4 publications
52 citations
National Cheng Kung University
Tainan City, Taiwan
1 h-index
2 publications
50 citations
University of Maryland, College Park
College Park, United States
1 h-index
2 publications
70 citations
1–8 of 56
PRL · 2 publications · 352 citations
2
h-index
JBC · 1 publications · 47 citations
1
h-index
1 publications · 52 citations
1
h-index
1 publications · 18 citations
1
h-index
1 publications · 19 citations
1
h-index
1–5