Thwarting Uniqueness in Datasets of Spatiotemporal Trajectories

Pervasive mobile communications make it easy to track individuals, a practice that both fosters new knowledge and raises privacy concerns. The uniqueness of human mobility patterns is critical to the latter, as it facilitates user re-identification in naively anonymised datasets. We propose a solution that guarantees the indistinguishability of spatiotemporal trajectories - an important step towards the open access of privacy-preserving datasets.