Location K-anonymity

Location k-Anonymity is a privacy-preserving metric that ensures a user's location is indistinguishable within a group of at least k individuals, thereby preventing re-identification by requiring that each observed location region contains no fewer than k identities.

108

Publications

8.3K

Citations

361

Authors

145

Institutions

Publications per year

2017–2026

38

Authors

361

  1. BN
    Ben Niu

    Shenzhen University, China

    7 publications · 652 citations

    7

    h-index

  2. JX
    Jianliang Xu

    Hong Kong Baptist University, Hong Kong SAR China

    5 publications · 416 citations

    5

    h-index

  3. LL
    Ling Liu

    Georgia Institute of Technology, United States

    4 publications · 2.2K citations

    4

    h-index

  4. XZ
    Xiaoyan Zhu

    Xidian University, China

    4 publications · 543 citations

    4

    h-index

  5. SZ
    Sameh Zakhary

    University of Nottingham, United Kingdom

    3 publications · 66 citations

    3

    h-index

1–5 of 361

Venues

  1. IEEE Access

    9 publications · 275 citations

    9

    h-index

  2. Wireless Communications and Mobile Computing

    WCMC · 3 publications · 59 citations

    3

    h-index

  3. IEEE Internet of Things Journal

    3 publications · 207 citations

    3

    h-index

  4. IEEE Transactions on Mobile Computing

    TMCCI · 2 publications · 926 citations

    2

    h-index

  5. IEEE Transactions on Vehicular Technology

    2 publications · 44 citations

    2

    h-index

1–5