Privacy-Preserving Modeling of Trajectory Data: Secure Sharing Solutions for Trajectory Data Based on Granular Computing

Privacy-Preserving Modeling of Trajectory Data: Secure Sharing Solutions for Trajectory Data Based on Granular Computing

Trajectory data are embedded within driving paths, GPS positioning systems, and mobile signaling information. A vast amount of trajectory data play a crucial role in the development of smart cities. However, these trajectory data contain a significant amount of sensitive user information, which pose...

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Bibliographic Details
Main Authors: Yanjun Chen, Ge Zhang, Chengkun Liu, Chunjiang Lu
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Mathematics
Subjects:
trajectory data
fuzzy rule model
differential privacy
granular computing
Online Access:https://www.mdpi.com/2227-7390/12/23/3681
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