Towards the publication of privacy-preserving yet useful mobility traces
- Published on April 2015, at the poster session of EuroSys 2015.
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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.
