Location Data Sanitization
Location Data Sanitization is a privacy-preserving method that systematically modifies raw location traces to remove or obfuscate personally identifiable information while preserving the utility of the data for legitimate spatial analysis.
9
Publications
281
Citations
34
Authors
23
Institutions
Publications per year
2017–2026
4
Parents
9
GEPETO: A GEoPrivacy-Enhancing TOolkit
Sébastien Gambs, Marc‐Olivier Killijian, Miguel Núñez-del-Prado · 2010 · 27 citations
1–5 of 9
34
3
h-index
2
h-index
1
h-index
1
h-index
Laboratoire d'Informatique de l'École Polytechnique, France
1 publications · 26 citations
1
h-index
1–5 of 34
23
University of Massachusetts Boston
Boston, United States
3 h-index
3 publications
99 citations
University of Southern California
Los Angeles, United States
2 h-index
5 publications
131 citations
California Southern University
Chandler, United States
2 h-index
5 publications
131 citations
Institut de Recherche en Informatique et Systèmes Aléatoires
Rennes, France
1 h-index
1 publications
27 citations

Concordia University
Montreal, Canada
1 h-index
1 publications
12 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
1 h-index
1 publications
11 citations

Beijing Institute of Technology
Beijing, China
1 h-index
1 publications
19 citations
Laboratoire d'Informatique de l'École Polytechnique
Palaiseau, France
1 h-index
3 publications
78 citations
1–8 of 23
1 publications · 19 citations
1
h-index
TDSC · 1 publications · 12 citations
1
h-index
1 publications · 26 citations
1
h-index
PVLDB · 1 publications · 19 citations
1
h-index
TPDS · 1 publications · 87 citations
1
h-index
1–5