Original paper

An efficient method for privacy-preserving trajectory data publishing based on data partitioning

Volume: 76, Issue: 7, Pages: 5276 - 5300
Published: Jun 6, 2019
Abstract
Since Osman Abul et al. first proposed the k-anonymity-based privacy protection for trajectory data, researchers have proposed a variety of trajectory privacy-preserving methods. These methods mainly adopt a static anonymity algorithm, which only focusing on the trajectories in a specific time span, directly anonymizes data and publishes them without considering dynamic nature of trajectory data as the new time slice arriving. Furthermore, due...
Paper Details
Title
An efficient method for privacy-preserving trajectory data publishing based on data partitioning
Published Date
Jun 6, 2019
Volume
76
Issue
7
Pages
5276 - 5300
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