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Authors: Louis Philippe Sondeck 1 ; Maryline Laurent 2 and Vincent Frey 3

Affiliations: 1 Orange Labs and Telecom SudParis, France ; 2 Telecom SudParis, Paris-Saclay University and CNRS, France ; 3 Orange Labs, France

ISBN: 978-989-758-259-2

Keyword(s): Anonymity Metric, Semantic Discrimination Rate, Discrimination Rate, Identifiability, k-anonymity, t-closeness, l-diversity.

Related Ontology Subjects/Areas/Topics: Data and Application Security and Privacy ; Data Engineering ; Data Integrity ; Data Protection ; Database Security and Privacy ; Databases and Data Security ; Information and Systems Security ; Information Assurance ; Privacy ; Privacy Enhancing Technologies ; Risk Assessment ; Security and Privacy for Big Data ; Security in Information Systems

Abstract: After a brief description of k-anonymity, l-diversity and t-closeness techniques, the paper presents the Discrimination Rate (DR) as a new metric based on information theory for measuring the privacy level of any anonymization technique. As far as we know, the DR is the first approach supporting fine grained privacy measurement down to attribute’s values. Increased with the semantic dimension, the resulting semantic DR (SeDR) enables to: (1) tackle anonymity measurements from the attacker’s perspective, (2) prove that t-closeness can give lower privacy protection than l-diversity.

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Paper citation in several formats:
Sondeck, L.; Laurent, M. and Frey, V. (2017). The Semantic Discrimination Rate Metric for Privacy Measurements which Questions the Benefit of t-closeness over l-diversity.In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017) ISBN 978-989-758-259-2, pages 285-294. DOI: 10.5220/0006418002850294

@conference{secrypt17,
author={Louis Philippe Sondeck. and Maryline Laurent. and Vincent Frey.},
title={The Semantic Discrimination Rate Metric for Privacy Measurements which Questions the Benefit of t-closeness over l-diversity},
booktitle={Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017)},
year={2017},
pages={285-294},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006418002850294},
isbn={978-989-758-259-2},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017)
TI - The Semantic Discrimination Rate Metric for Privacy Measurements which Questions the Benefit of t-closeness over l-diversity
SN - 978-989-758-259-2
AU - Sondeck, L.
AU - Laurent, M.
AU - Frey, V.
PY - 2017
SP - 285
EP - 294
DO - 10.5220/0006418002850294

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