Novel trajectory privacy-preserving method based on prefix tree using differential privacy-Reference-Cited by-同舟云学术

Novel trajectory privacy-preserving method based on prefix tree using differential privacy

Published:2020-06 Issue: Volume:198 Page:105940
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Zhao Xiaodong,Pi Dechang,Chen Junfu

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities China

Foundation of the Graduate Innovation Center in Nanjing University of Aeronautics and Astronautics China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference35 articles.

1. Priste: From location privacy to spatiotemporal event privacy;Cao,2019

2. Privacy-preserving trajectory data publishing by local suppression;Chen;Inform. Sci.,2013

3. Differentially private publication of general time-serial trajectory data;Hua,2015

4. A geo-indistinguishable location perturbation mechanism for location-based services supporting frequent queries;Hua;IEEE Trans. Inf. Forensics Secur.,2017

5. K-anonymity: A model for protecting privacy;Sweeney;Int. J. Uncertain. Fuzziness Knowl.-Based Syst.,2002

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