Secure Multi-party Location Computation
Secure Multi-Party Location Computation is a cryptographic protocol that enables multiple parties to jointly compute location-based functions over their private spatial inputs without revealing those inputs to each other, thus preserving location privacy while achieving collaborative computation.
12
Publications
294
Citations
38
Authors
22
Institutions
Publications per year
2017–2026
3
Parents
12
Blockchain for secure location verification
Mohammad Reza Nosouhi, Shui Yu, Wanlei Zhou et al. · Journal of Parallel and Distributed Computing · 2019 · 44 citations · Full text
Privacy preserving route planning
Keith B. Frikken, Mikhail J. Atallah · 2004 · 41 citations
1–5 of 12
38
Hong Kong University of Science and Technology, Hong Kong SAR China
2 publications · 26 citations
2
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 38
22
City University of New York
New York, United States
2 h-index
3 publications
42 citations
Purdue University West Lafayette
West Lafayette, United States
1 h-index
2 publications
82 citations
University of California San Diego
San Diego, United States
1 h-index
2 publications
30 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
2 publications
44 citations
IBM (United States)
Armonk, United States
1 h-index
1 publications
16 citations

Henan University
Kaifeng, China
1 h-index
1 publications
16 citations
Michigan Technological University
Houghton, United States
1 h-index
1 publications
10 citations
Chalmers University of Technology
Gothenburg, Sweden
1 h-index
2 publications
76 citations
1–8 of 22
1 publications · 22 citations
1
h-index
TNSM · 1 publications · 16 citations
1
h-index
1 publications · 44 citations
1
h-index
1 publications · 10 citations
1
h-index
1 publications · 10 citations
1
h-index
1–5