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Distributed and Privacy-Preserving Personal Queries on Personal Clouds

Julien Loudet 1, 2
1 PETRUS - Personal Trusted cloud
Inria Saclay - Ile de France, DAVID - Données et algorithmes pour une ville intelligente et durable - DAVID
Abstract : In a context where we produce more and more personal data and where we control less and less how and by whom they are used, a new way of managing them is on the rise: the "personal cloud". In partnership with the french start-up Cozy Cloud (https://cozy.io) that is developing such technology, we propose through this work a way of collaboratively querying the personal clouds while preserving the privacy of the users. We detail in this thesis three contributions to achieve this objective: (1) a set of four requirements any protocol has to respect in this particular context: imposed randomness to prevent an attacker from influencing the execution of a query, knowledge dispersion to prevent any node from concentrating information, task atomicity to split the execution in as many independent tasks as necessary and hidden communications to protect the identity of the participants as well as the content of their communications; (2) SEP2P a protocol leveraging a distributed hash table and CSAR, another protocol that generates a verifiable random number, in order to generate a random and verifiable list of actors in accordance with the first requirement; and (3) DISPERS a protocol that applies the last three requirements and splits the execution of a query so as to minimize the impact of a leakage (in case an attacker was selected as actor) by providing to each actor the minimum amount of information it needs in order to execute its task.
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https://hal.inria.fr/tel-02376516
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Submitted on : Friday, November 22, 2019 - 4:12:28 PM
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Julien Loudet. Distributed and Privacy-Preserving Personal Queries on Personal Clouds. Databases [cs.DB]. Université de Versailles Saint Quentin en Yvelines (UVSQ), 2019. English. ⟨NNT : 2019SACLV067⟩. ⟨tel-02376516⟩

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