Abstract | ||
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With the rapidly growing deployment of intelligent transportation systems (ITS) and smart traffic applications, vehicle trajectory data are ubiquitously generated, e.g., from GPS navigation systems, mobile applications, and urban traffic cameras. Analyzing such fine-grained data would greatly benefit the development of ITS and smart cities, yet pose severe privacy risks due to the recorded drivers... |
Year | DOI | Venue |
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2021 | 10.1109/TDSC.2019.2960336 | IEEE Transactions on Dependable and Secure Computing |
Keywords | DocType | Volume |
Trajectory,Differential privacy,Acceleration,Privacy,Vehicles | Journal | 18 |
Issue | ISSN | Citations |
6 | 1545-5971 | 1 |
PageRank | References | Authors |
0.35 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bingyu Liu | 1 | 2 | 4.08 |
Shangyu Xie | 2 | 7 | 4.79 |
Wang Han | 3 | 1 | 0.68 |
Yuan Hong | 4 | 184 | 18.71 |
Jeff Ban | 5 | 194 | 21.57 |
Meisam Mohammady | 6 | 3 | 2.41 |