Towards the publication of privacy-preserving yet useful mobility traces

An increasing amount of mobility data is being collected every day, and privacy is a main concern when publishing this sensitive data. Existing state-of-the-art techniques are often based on adding noise to the geographical data and are not yet fully satisfactory. We propose a novel solution based on time distortion and evaluate it using a real-life dataset.