Real-Time Trajectory Synthesis with Local Differential Privacy

arXiv:2404.11450v1 Announce Type: cross
Abstract: Trajectory streams are being generated from location-aware devices, such as smartphones and in-vehicle navigation systems. Due to the sensitive nature of the location data, directly sharing user trajectories suffers from privacy leakage issues. Local differential privacy (LDP), which perturbs sensitive data on the user side before it is shared or analyzed, emerges as a promising solution for private trajectory stream collection and analysis. Unfortunately, existing stream release approaches often neglect the rich spatial-temporal context information …

arxiv aware cs.cr cs.db data devices differential privacy generated local location location data nature navigation navigation systems privacy real sensitive sensitive data sharing smartphones systems trajectory vehicle