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
Parents
108
Ken Perlin, David Strickman Fox · 1993 · 544 citations
Supporting anonymous location queries in mobile environments with privacygrid
Bhuvan Bamba, Ling Liu, Peter Pesti et al. · 2008 · 424 citations
1–5 of 108
361
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1–5 of 361
145

Xidian University
Xi'an, China
9 h-index
33 publications
2.6K citations
Hong Kong Baptist University
Hong Kong, Hong Kong
5 h-index
10 publications
722 citations

Hunan University
Changsha, China
5 h-index
9 publications
465 citations

Hunan University of Science and Technology
Xiangtan, China
4 h-index
7 publications
564 citations
Georgia State University
Atlanta, United States
4 h-index
8 publications
204 citations
Nanjing University of Posts and Telecommunications
Nanjing, China
4 h-index
9 publications
239 citations
Nanjing University of Science and Technology
Nanjing, China
4 h-index
16 publications
926 citations

Huazhong University of Science and Technology
Wuhan, China
4 h-index
11 publications
596 citations
1–8 of 145
9 publications · 275 citations
9
h-index
WCMC · 3 publications · 59 citations
3
h-index
3 publications · 207 citations
3
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TMCCI · 2 publications · 926 citations
2
h-index
2 publications · 44 citations
2
h-index
1–5