Local Personal Data Processing with Third Party Code and Bounded Leakage - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2022

Local Personal Data Processing with Third Party Code and Bounded Leakage

Abstract

Personal Data Management Systems (PDMSs) provide individuals with appropriate tools to collect, manage and share their personal data under control. A founding principle of PDMSs is to move the computation code to the user's data, not the other way around. This opens up new uses for personal data, wherein the entire personal database of the individuals is operated within their local environment and never exposed outside, but only aggregated computed results are externalized. Yet, whenever arbitrary aggregation function code, provided by a third-party service or application, is evaluated on large datasets, as envisioned for typical PDMS use-cases, can the potential leakage of the user's personal information, through the legitimate results of that function, be bounded and kept small? This paper aims at providing a positive answer to this question, which is essential to demonstrate the rationale of the PDMS paradigm. We resort to an architecture for PDMSs based on Trusted Execution Environments to evaluate any classical user-defined aggregate PDMS function. We show that an upper bound on leakage exists and we sketch remaining research issues.
Fichier principal
Vignette du fichier
Local Personal Data Processing with Third Party Code and Bounded Leakage.pdf (195.15 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03686098 , version 1 (02-06-2022)

Identifiers

  • HAL Id : hal-03686098 , version 1

Cite

Robin Carpentier, Iulian Sandu Popa, Nicolas Anciaux. Local Personal Data Processing with Third Party Code and Bounded Leakage. DATA 2022 - 11th International Conference on Data Science, Technology and Applications, Jul 2022, Lisbon, Portugal. ⟨hal-03686098⟩
134 View
78 Download

Share

Gmail Facebook X LinkedIn More