01416nas a2200181   4500008004100000245005400041210005300095260002000148520088200168100002301050700001901073700002101092700001801113700002001131700002301151700002301174856003701197       2013                        eng d00aPrivacy-Aware Distributed Mobility Data Analytics0 aPrivacyAware Distributed Mobility Data Analytics  aRoccella Jonica3 aWe 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.
1 aPratesi, Francesca1 aMonreale, Anna1 aWang, Hui, Wendy1 aRinzivillo, S1 aPedreschi, Dino1 aAndrienko, Gennady1 aAndrienko, Natalia  uhttps://kdd.isti.cnr.it/node/615