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Communication Dans Un Congrès Année : 2023

Enabling Privacy-Preserving Data Aggregation in Networks of Personal Data Management Systems

Résumé

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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hal-04234719 , version 1 (10-10-2023)

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  • HAL Id : hal-04234719 , version 1

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Julien Mirval, Iulian Sandu Popa, Luc Bouganim, Paul Tran-Van. Enabling Privacy-Preserving Data Aggregation in Networks of Personal Data Management Systems. CoopIS 2023 - Proceedings of the Demonstration Track at International Conference on Cooperative Information Systems 2023, Oct 2023, Groningen, Netherlands. ⟨hal-04234719⟩
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