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You Can Walk Alone: Trajectory Privacy-Preserving through Significant Stays Protection
[chapter]
2012
Lecture Notes in Computer Science
Publication of moving objects' everyday life trajectories may cause serious personal privacy leakage. Existing trajectory privacy-preserving methods try to anonymize k whole trajectories together, which may result in complicated algorithms and extra information loss. We observe that, background information are more relevant to where the moving objects really visit rather than where they just pass by. In this paper, we propose an approach called You Can Walk Alone (YCWA) to protect trajectory
doi:10.1007/978-3-642-29038-1_26
fatcat:wocjlp6ibvao5ao3p7wfhk7nz4