Privacy-Centric Data ManagementReport as inadecuate




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1 SMIS - Secured and Mobile Information Systems PRISM - Parallélisme, Réseaux, Systèmes, Modélisation, UVSQ - Université de Versailles Saint-Quentin-en-Yvelines, Inria Paris-Rocquencourt, CNRS - Centre National de la Recherche Scientifique : UMR8144

Abstract : This document will focus on my core computer science research since 2010, covering the topic of data management and privacy. More speci cally, I will present the following topics : -ˆ A new paradigm, called Trusted Cells for privacy-centric personal data management based on the Asymmetric Architecture composed of trusted or open low power distributed hardware devices acting as personal data servers and a highly powerful, highly available supporting server, such as a cloud. Chapter 2. ˆ- Adapting aggregate data computation techniques to the Trusted Cells environment, with the example of Privacy-Preserving Data Publishing Chapter 3. - Minimizing the data that leaves a Trusted Cell, i.e. enforcing the general privacy principle of Limited Data Collection Chapter 4. This document contains only results that have already been published. As such, rather than focus on the details and technicalities of each result, I have tried to provide an easy way to have a global understanding of the context behind the work, explain the problematic of the work, and give a summary of the main scienti c results and impact.

Mots-clés : privacy Bases de données protection de la vie privée -privacy-





Author: Benjamin Nguyen -

Source: https://hal.archives-ouvertes.fr/



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