Privacy-Aware Distributed Mobility Data Analytics

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TitlePrivacy-Aware Distributed Mobility Data Analytics
Publication TypeConference Paper
Year of Publication2013
AuthorsPratesi, F, Monreale, A, Wang, HWendy, Rinzivillo, S, Pedreschi, D, Andrienko, G, Andrienko, N
Conference NameSEBD
Conference LocationRoccella Jonica
AbstractWe propose an approach to preserve privacy in an analytical processing within a distributed setting, and tackle the problem of obtaining aggregated information about vehicle traffic in a city from movement data collected by individual vehicles and shipped to a central server. Movement data are sensitive because they may describe typical movement behaviors and therefore be used for re-identification of individuals in a database. We provide a privacy-preserving framework for movement data aggregation based on trajectory generalization in a distributed environment. The proposed solution, based on the differential privacy model and on sketching techniques for efficient data compression, provides a formal data protection safeguard. Using real-life data, we demonstrate the effectiveness of our approach also in terms of data utility preserved by the data transformation.