Dummy Location Generation
Dummy Location Generation is a privacy-preserving technique in location-based services that generates syntactically consistent but spatially inaccurate locations to obscure a user's true position while maintaining the functionality of location queries.
27
Publications
1.7K
Citations
97
Authors
48
Institutions
Publications per year
2017–2026
15
Parents
27
Ken Perlin, David Strickman Fox · 1993 · 544 citations
Hua Lu, Christian S. Jensen, Man Lung Yiu · 2008 · 207 citations
A game-theoretic approach for achieving k-anonymity in Location Based Services
Xinxin Liu, Kaikai Liu, Linke Guo et al. · 2013 · 124 citations
Dummy-Based User Location Anonymization Under Real-World Constraints
Takahiro Hara, Akiyoshi Suzuki, Mayu Iwata et al. · IEEE Access · 2016 · 94 citations · Full text
Privacy-area aware dummy generation algorithms for Location-Based Services
Ben Niu, Zhengyan Zhang, Xiaoqing Li et al. · 2014 · 87 citations
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The University of Osaka
Osaka, Japan
4 h-index
14 publications
903 citations
Microsoft Research Asia (China)
Beijing, China
4 h-index
6 publications
397 citations

Xidian University
Xi'an, China
4 h-index
14 publications
848 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
7 publications
283 citations
Shandong University of Science and Technology
Qingdao, China
2 h-index
8 publications
104 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
5 publications
97 citations

Deakin University
Burwood, Australia
1 h-index
3 publications
42 citations
University of New Brunswick
Fredericton, Canada
1 h-index
1 publications
36 citations
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5 publications · 218 citations
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2 publications · 29 citations
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1 publications · 21 citations
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Conference · 1 publications · 29 citations
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1 publications · 15 citations
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