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

Authors

123

  1. TM
    Traian Marius Truţă

    Northern Kentucky University, United States

    3 publications · 138 citations

    3

    h-index

  2. XS
    Xiaoxun Sun

    University of Southern Queensland, Australia

    2 publications · 87 citations

    2

    h-index

  3. ZZ
    Zhiguo Zhou

    Nanjing Agricultural University, China

    2 publications · 77 citations

    2

    h-index

  4. HL
    Huijie Li

    Northwest A&F University, China

    2 publications · 77 citations

    2

    h-index

  5. JL
    Jiuyong Li

    University of South Australia, Australia

    2 publications · 87 citations

    2

    h-index

1–5 of 123

Venues

  1. Physical Review Letters

    PRL · 2 publications · 352 citations

    2

    h-index

  2. Journal of Biological Chemistry

    JBC · 1 publications · 47 citations

    1

    h-index

  3. Neuroscience Letters

    1 publications · 52 citations

    1

    h-index

  4. Statistics in Medicine

    1 publications · 18 citations

    1

    h-index

  5. Forest Ecology and Management

    1 publications · 19 citations

    1

    h-index

1–5