Industrial Project

Nowadays we have an unprecedented opportunities of sensing, storing and analysing data describing human activities at extreme detail and resolution.
Unfortunately, personal data are sensitive, because they may allow re-identification of individuals in a de-identified database.

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.