Spatiotemporal Data Publishing
Spatiotemporal Data Publishing is a data dissemination paradigm that releases datasets containing both spatial and temporal attributes for analytical or public use, distinguished by its focus on preserving individual privacy through anonymization or perturbation techniques in the presence of location and time-specific identifiers.
24
Publications
1.1K
Citations
92
Authors
60
Institutions
Publications per year
2017–2026
17
Parents
24
Achieving differential privacy of trajectory data publishing in participatory sensing
Meng Li, Liehuang Zhu, Zijian Zhang et al. · Information Sciences · 2017 · 134 citations
RescueDP: Real-time spatio-temporal crowd-sourced data publishing with differential privacy
1–5 of 24
92
2
h-index
2
h-index
2
h-index
University at Buffalo, State University of New York, United States
2 publications · 275 citations
2
h-index
2
h-index
1–5 of 92
60
Wuhan University
Wuhan, China
2 h-index
9 publications
1.2K citations

Sun Yat-sen University
Guangzhou, China
2 h-index
4 publications
68 citations
IMDEA Networks
Leganés, Spain
2 h-index
3 publications
159 citations
University at Buffalo, State University of New York
Buffalo, United States
2 h-index
3 publications
467 citations

King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
2 h-index
3 publications
170 citations

The University of Melbourne
Melbourne, Australia
2 h-index
7 publications
197 citations
Quanzhou Normal University
Quanzhou, China
1 h-index
1 publications
11 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
1 h-index
1 publications
27 citations
1–8 of 60
2 publications · 22 citations
2
h-index
1 publications · 58 citations
1
h-index
1 publications · 14 citations
1
h-index
1 publications · 18 citations
1
h-index
1 publications · 26 citations
1
h-index
1–5