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Mincer Algorithm: Privacy Protection for Publishing Trajectories Dynamically

Authors :
Chunyi Chen
Guijie Zhang
Shuai Wang
Source :
2020 12th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

Some applications require real-time analysis of trajectory data. But the direct release of the original trajectory to a third party for analysis will threaten the privacy of the trajectory subject. So the protection of trajectory privacy published dynamically is important. In this paper, a Mincer algorithm is proposed, which realizes the dynamic publishing of trajectories through the Translocation policy of trajectory points. The algorithm is low delay and reduces the information loss. The effectiveness of the algorithm and the usefulness of the published data are verified by experiments.

Details

Database :
OpenAIRE
Journal :
2020 12th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)
Accession number :
edsair.doi...........7fffaf6e3d6994dae8278a303058452a