Trajectory Data Privacy: Research Challenges and Opportunities.
Tarlis Tortelli Portela, Francisco Vicenzi, Vânia Bogorny · Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research) · 2019
With the explosion of trajectory data available from many sources, emerges the problem of data privacy. Trajectory privacy methods have been studied for many years. Data analysis and mining methods can benefit from truthful data sources, but for this purpose, protecting users privacy is crucial. Trajectories have been studied as multidimensional data with space, time and semantic dimensions in which a few works in the literature have considered all of them. The more information that is associated to mobility data, the more sensitive is the user privacy. In this paper we present the basic concepts and the state of the art in trajectory privacy and present the challenges related to mobility data anonymization.