Risk Analysis for Publishing Vehicular Data @ Toyota

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Mobility data are an important source of knowledge useful for understanding human behaviour and for developing a wide range of user services. Unfortunately, this kind of data is sensitive, because people's whereabouts may allow re-identification of individuals in a de-identified database. Therefore, Data Providers, before sharing those data, must apply any sort of anonymization to lower the privacy risks, but they must be aware and capable of controlling also the data quality, since these two factors are often a trade-off.
This project aims at providing a privacy-aware ecosystem for sharing mobility data that enables the assessing both the empirical privacy risk associated to users represented in the data, and the data quality guaranteed only with users not at risk.

Image by Bär-Tiger CC BY-NC-SA 2.0, via Fotocommunity.de
Start Date
1 July 2014
End Date
31 March 2015
Department of Computer Science, University of Pisa (DI-UNIPI)
Istituto di Scienza e Tecnologie dell’Informazione, National Research Council of Italy (ISTI-CNR)