An extensive and secure personal data management system using SGX

Robin Carpentier; Floris Thiant; Iulian Sandu Popa; Nicolas Anciaux; Luc Bouganim

doi:10.48786/edbt.2022.53

An extensive and secure personal data management system using SGX

Robin Carpentier, Floris Thiant, Iulian Sandu Popa, Nicolas Anciaux, Luc Bouganim

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

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Abstract

Personal Data Management System (PDMS) solutions are currently flourishing, spurred by new privacy regulations such as GDPR and new legal concepts like data altruism. PDMSs aim to empower individuals by providing appropriate tools to collect and manage their personal data and share computed results with third parties, thus requiring (i) a secure platform protecting the user's privacy and delivering strong guarantees on the outputs of user's data processing, and (ii) an extensible solution that supports all types of data-driven computations. In previous works, we analyzed these requirements and proposed an Extensive and Secure PDMS (ES-PDMS) logical architecture. This demonstration presents the first ES-PDMS prototype based on SGX enclaves, focusing on its security properties with the help of several concrete scenarios and interactive games.

Original language	English
Title of host publication	Proceedings of the 25th International Conference on Extending Database Technology (EDBT), 29th March-1st April, 2022
Publisher	OpenProceedings.org
Pages	570-573
Number of pages	4
ISBN (Electronic)	9783893180857
DOIs	https://doi.org/10.48786/edbt.2022.53
Publication status	Published - 2022
Externally published	Yes
Event	International Conference on Extending Database Technology (25th : 2022) - Online Duration: 29 Mar 2022 → 1 Apr 2022 Conference number: 25th

Publication series

Name
ISSN (Print)	2367-2005

Conference

Conference	International Conference on Extending Database Technology (25th : 2022)
Abbreviated title	EDBT
City	Online
Period	29/03/22 → 1/04/22

Bibliographical note

Copyright the Author(s) 2022. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Access to Document

10.48786/edbt.2022.53Licence: CC BY-NC-ND

Publisher version (open access)Final published version, 3.37 MBLicence: CC BY-NC-ND

Cite this

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title = "An extensive and secure personal data management system using SGX",

abstract = "Personal Data Management System (PDMS) solutions are currently flourishing, spurred by new privacy regulations such as GDPR and new legal concepts like data altruism. PDMSs aim to empower individuals by providing appropriate tools to collect and manage their personal data and share computed results with third parties, thus requiring (i) a secure platform protecting the user's privacy and delivering strong guarantees on the outputs of user's data processing, and (ii) an extensible solution that supports all types of data-driven computations. In previous works, we analyzed these requirements and proposed an Extensive and Secure PDMS (ES-PDMS) logical architecture. This demonstration presents the first ES-PDMS prototype based on SGX enclaves, focusing on its security properties with the help of several concrete scenarios and interactive games.",

author = "Robin Carpentier and Floris Thiant and {Sandu Popa}, Iulian and Nicolas Anciaux and Luc Bouganim",

note = "Copyright the Author(s) 2022. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.; International Conference on Extending Database Technology (25th : 2022), EDBT ; Conference date: 29-03-2022 Through 01-04-2022",

year = "2022",

doi = "10.48786/edbt.2022.53",

language = "English",

publisher = "OpenProceedings.org",

pages = "570--573",

booktitle = "Proceedings of the 25th International Conference on Extending Database Technology (EDBT), 29th March-1st April, 2022",

}

Carpentier, R, Thiant, F, Sandu Popa, I, Anciaux, N & Bouganim, L 2022, An extensive and secure personal data management system using SGX. in Proceedings of the 25th International Conference on Extending Database Technology (EDBT), 29th March-1st April, 2022. OpenProceedings.org, pp. 570-573, International Conference on Extending Database Technology (25th : 2022), Online, 29/03/22. https://doi.org/10.48786/edbt.2022.53

An extensive and secure personal data management system using SGX. / Carpentier, Robin; Thiant, Floris; Sandu Popa, Iulian et al.
Proceedings of the 25th International Conference on Extending Database Technology (EDBT), 29th March-1st April, 2022. OpenProceedings.org, 2022. p. 570-573.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

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AU - Anciaux, Nicolas

AU - Bouganim, Luc

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Y2 - 29 March 2022 through 1 April 2022

ER -

An extensive and secure personal data management system using SGX

Abstract

Publication series

Conference

Bibliographical note

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Cite this