Title
VTDP: Privately Sanitizing Fine-Grained Vehicle Trajectory Data With Boosted Utility
Abstract
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
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 Liu124.08
Shangyu Xie274.79
Wang Han310.68
Yuan Hong418418.71
Jeff Ban519421.57
Meisam Mohammady632.41