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Authors: Axel Michel 1 ; Benjamin Nguyen 1 and Philippe Pucheral 2

Affiliations: 1 INSA-CVL, Petrus team and Inria Saclay & UVSQ, France ; 2 Petrus team and Inria Saclay & UVSQ, France

ISBN: 978-989-758-255-4

Keyword(s): Data Privacy and Security, Big Data, Distributed Query Processing, Secure Hardware.

Related Ontology Subjects/Areas/Topics: Data and Application Security and Privacy ; Data Engineering ; Data Privacy and Security ; Database Architecture and Performance ; Databases and Data Security ; Information and Systems Security

Abstract: The benefit of performing Big data computations over individual’s microdata is manifold, in the medical, energy or transportation fields to cite only a few, and this interest is growing with the emergence of smart disclosure initiatives around the world. However, these computations often expose microdata to privacy leakages, explaining the reluctance of individuals to participate in studies despite the privacy guarantees promised by statistical institutes. This paper proposes a novel approach to push personalized privacy guarantees in the processing of database queries so that individuals can disclose different amounts of information (i.e. data at different levels of accuracy) depending on their own perception of the risk. Moreover, we propose a decentralized computing infrastructure based on secure hardware enforcing these personalized privacy guarantees all along the query execution process. A performance analysis conducted on a real platform shows the effectiveness of the approach.

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Paper citation in several formats:
Michel, A.; Nguyen, B. and Pucheral , P. (2017). Managing Distributed Queries under Personalized Anonymity Constraints.In Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-255-4, pages 107-117. DOI: 10.5220/0006477001070117

@conference{data17,
author={Axel Michel. and Benjamin Nguyen. and Philippe Pucheral .},
title={Managing Distributed Queries under Personalized Anonymity Constraints},
booktitle={Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2017},
pages={107-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006477001070117},
isbn={978-989-758-255-4},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Managing Distributed Queries under Personalized Anonymity Constraints
SN - 978-989-758-255-4
AU - Michel, A.
AU - Nguyen, B.
AU - Pucheral , P.
PY - 2017
SP - 107
EP - 117
DO - 10.5220/0006477001070117

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