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Authors: Feten Ben Fredj 1 ; Nadira Lammari 1 and Isabelle Comyn-Wattiau 2

Affiliations: 1 CEDRIC-CNAM, France ; 2 ESSEC Business School, France

ISBN: 978-989-758-282-0

Keyword(s): Model-driven Approach, Meta-model, Guidance, Anonymization, Ontology.

Related Ontology Subjects/Areas/Topics: Data and Application Security and Privacy ; Database Security ; Information and Systems Security ; Information Assurance ; Information Hiding

Abstract: Personal data anonymization requires complex algorithms aiming at avoiding disclosure risk without compromising data utility. In this paper, we describe a model-driven approach guiding the data owner during the anonymization process. Depending on the step, the guidance is informative or suggestive. It helps in choosing the most relevant algorithm given the data characteristics and the future usage of anonymized data. It also helps in defining the best input values for the chosen algorithm. The contribution is twofold: a meta-model describing the anonymization process and components and an approach based on this meta-model. In this paper, we focus on microdata generalization algorithms. Both theoretical and experimental knowledge regarding anonymization is stored in an ontology. An experiment, conducted with sixteen participants allowing us to check the usability of the approach, is described.

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Paper citation in several formats:
Ben Fredj, F.; Lammari, N. and Comyn-Wattiau, I. (2018). Relational Database Anonymization - A Model-driven Guiding Approach.In Proceedings of the 4th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP, ISBN 978-989-758-282-0, pages 161-170. DOI: 10.5220/0006659201610170

@conference{icissp18,
author={Feten Ben Fredj. and Nadira Lammari. and Isabelle Comyn{-}Wattiau.},
title={Relational Database Anonymization - A Model-driven Guiding Approach},
booktitle={Proceedings of the 4th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,},
year={2018},
pages={161-170},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006659201610170},
isbn={978-989-758-282-0},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,
TI - Relational Database Anonymization - A Model-driven Guiding Approach
SN - 978-989-758-282-0
AU - Ben Fredj, F.
AU - Lammari, N.
AU - Comyn-Wattiau, I.
PY - 2018
SP - 161
EP - 170
DO - 10.5220/0006659201610170

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