Trustworthy Distributed Computations on Personal Data Using Trusted Execution Environments

Thanks to new regulations like GDPR, Personal Data Management Systems (PDMS) have become a reality. This decentralized way of managing personal data provides a de facto protection against massive attacks on central servers. But, when performing distributed computations, this raises the question of how to preserve individuals' trust on their PDMS? And how to guarantee the integrity of the final result? This paper proposes a secure computing framework capitalizing on the use of Trusted Execution Environments at the edge of the network to tackle these questions.

Mots clés

Data privacy Secure distributed computing TEE

Domaines

Informatique [cs]

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Version hal trustcom.pdf (794.41 Ko)

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Riad Ladjel : Connectez-vous pour contacter le contributeur

https://hal.science/hal-02269207

Soumis le : jeudi 22 août 2019-14:47:10

Dernière modification le : jeudi 1 février 2024-10:04:58

Archivage à long terme le : vendredi 10 janvier 2020-14:00:16

Dates et versions

hal-02269207 , version 1 (22-08-2019)

Identifiants

HAL Id : hal-02269207 , version 1
DOI : 10.1109/TrustCom/BigDataSE.2019.00058

Citer

Riad Ladjel, Nicolas Anciaux, Philippe Pucheral, Guillaume Scerri. Trustworthy Distributed Computations on Personal Data Using Trusted Execution Environments. TrustCom 2019 - The 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications / BigDataSE 2019 - 13th IEEE International Conference on Big Data Science and Engineering, Aug 2019, Rotorua, New Zealand. ⟨10.1109/TrustCom/BigDataSE.2019.00058⟩. ⟨hal-02269207⟩

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