A Computational Movement Analysis Framework for Exploring Anonymity in Human Mobility TrajectoriesAuthor(s): Jennifer Miller
Published on Aug 14, 2016
The unicity study has particularly important implications for privacy and the increasing availability of ‘anonymized’ trajectory datasets. This is one of the first studies to explore unicity and anonymity with higher resolution GPS data and it should be troubling how unique a set of two location points can be. Decreasing the spatial and temporal resolution reduces the unicity, but five points with x,y coordinates at the coarsest resolution tested here were still uniquely associated with a single trajectory more than 60% of the time.