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Protecting user data in distributed systems

Abstract : Protecting user data in distributed systems nowadays is very dicult. In this thesis, we focus on various issues related to the protection of user data on distributed data management systems, whose architectures range from client-server architectures to federations of servers or huge peer-to-peer organizations. Our first contribution is about trust in a system. We propose a metamodel based on first order logic, that allows to model a system considering entities of the social and digital worlds and their relations. Then we propose two approaches that allow users to evaluate trust in systems. In the context of peer-to-peer systems, we propose a data privacy model, and its DHT- based implementation, as well as a framework to measure and improve users’ satisfaction. In the context of the semantic web, in particular the Linked Data, we propose two approaches for deducing BGPs of SPARQL queries. Finally, we propose a lattice-based model that allows to position licenses in terms of compatibility and compliance.
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Contributor : Patricia Serrano Alvarado Connect in order to contact the contributor
Submitted on : Friday, September 18, 2020 - 9:35:44 AM
Last modification on : Wednesday, April 27, 2022 - 4:15:46 AM
Long-term archiving on: : Thursday, December 3, 2020 - 11:22:58 AM


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  • HAL Id : tel-02942581, version 1


Patricia Serrano-Alvarado. Protecting user data in distributed systems. Cryptography and Security [cs.CR]. Université de Nantes (UN), 2020. ⟨tel-02942581⟩



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