Enabling Privacy-Preserving Data Aggregation in Networks of Personal Data Management Systems
Abstract
The development and adoption of Personal Data Management Systems (PDMS) have been fueled by technical means, privacy regulations, and smart disclosure initiatives. A PDMS makes it easier for users to collect, process, and share personal data. However, functionalities based on collective computations within a network of PDMSs are still lacking at least in commercial products. This demonstration bridges this gap by leveraging the open-source Cozy Cloud product and recent research results in the area of privacy-preserving decentralized data aggregation. Our demonstration scenario highlights both the utility aspect of collective computations and the main features of the aggregation protocol.
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