Privacy-Preserving Trajectory Data Publishing by Dynamic Anonymization with Bounded Distortion

Privacy-Preserving Trajectory Data Publishing by Dynamic Anonymization with Bounded Distortion

Publication of trajectory data that contain rich information of vehicles in the dimensions of time and space (location) enables online monitoring and supervision of vehicles in motion and offline traffic analysis for various management tasks. However, it also provides security holes for privacy brea...

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Bibliographic Details
Main Authors: Songyuan Li, Hui Tian, Hong Shen, Yingpeng Sang
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:ISPRS International Journal of Geo-Information
Subjects:
trajectory data
data publishing
privacy-preserving
bounded distortion
attack preventing
Online Access:https://www.mdpi.com/2220-9964/10/2/78

Internet

https://www.mdpi.com/2220-9964/10/2/78

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