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An efficient method for privacy-preserving trajectory data publishing based on data partitioning
Authors:Li  Songyuan  Shen  Hong  Sang  Yingpeng  Tian  Hui
Affiliation:1.School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China
;2.School of Information and Communication Technology, Griffith University, Brisbane, Australia
;
Abstract:
The Journal of Supercomputing - Since Osman Abul et al. first proposed the k-anonymity-based privacy protection for trajectory data, researchers have proposed a variety of trajectory...
Keywords:
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