Cluster-Indistinguishability: A practical differential privacy mechanism for trajectory clustering
Author:
Affiliation:
1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, Hubei, China
2. Collaborative Innovation Center for Geospatial Technology, Wuhan 430079, Hubei, China
Publisher
IOS Press
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science
Reference22 articles.
1. Learning travel recommendations from user-generated GPS traces;Zheng;ACM Transactions on Intelligent Systems and Technology (TIST),2011
2. J. Hua, Y. Gao and S. Zhong, Differentially private publication of general time-serial trajectory data, in: IEEE Conference on Computer Communications (INFOCOM), Hong Kong, China, 2015, pp. 1435–1444.
3. G. Andrienko, N. Andrienko and F. GiannottiA, Movement data anonymity through generalization, in: Proceedings of the 2nd SIGSPATIAL ACM GIS 2009 International Workshop on Security and Privacy in GIS and LBS (SIGSPATIAL), Seattle, USA, 2009, pp. 1966–1974.
4. R. Yarovoy, F. Bonchi and L.V.S. Lakshmanan, Anonymizing moving objects: How to hide a MOB in a crowd? in: Proceedings of the 12th International Conference on Extending Database Technology (EDBT), Saint-Petersburg, Russia, 2009, pp. 2560–2565.
5. Movement data anonymity through generalization;Monreale;Transactions on Data Privacy,2010
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