Title
Effective Privacy Preserving Data Publishing by Vectorization
Abstract
•We suggested a privacy-preserving data-publishing model to balance data utility and privacy preservation.•The model is based on surrogate vectors.•The model is applicable on grid environments.•The model also protects the private location information of individuals.•The model satisfies ε-differential privacy.
Year
DOI
Venue
2020
10.1016/j.ins.2019.09.035
Information Sciences
Keywords
DocType
Volume
Location-based services (LBS),K-anonymity,Trajectory database,Surrogate vector
Journal
527
ISSN
Citations 
PageRank 
0020-0255
14
0.65
References 
Authors
0
4
Name
Order
Citations
PageRank
Chris Soo-Hyun Eom1313.41
Charles Cheolgi Lee2171.72
Wookey Lee319629.22
Carson K. Leung41625115.64