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Authors: Yuichi Sei and Akihiko Ohsuga

Affiliation: The University of Electro-Communications, Japan

ISBN: 978-989-758-045-1

ISSN: 2184-2825

Keyword(s): Privacy, Data mining, Anonymization.

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

Abstract: When a data holder wants to share databases that contain personal attributes, individual privacy needs to be considered. Existing anonymization techniques, such as l-diversity, remove identifiers and generalize quasi-identifiers (QIDs) from the database to ensure that adversaries cannot specify each individual’s sensitive attributes. Usually, the database is anonymized based on one-size-fits-all measures. Therefore, it is possible that several QIDs that a data user focuses on are all generalized, and the anonymized database has no value for the user. Moreover, if a database does not satisfy the eligibility requirement, we cannot anonymize it by existing methods. In this paper, we propose a new technique for l-diversity, which keeps QIDs unchanged and randomizes sensitive attributes of each individual so that data users can analyze it based on QIDs they focus on and does not require the eligibility requirement. Through mathematical analysis and simulations, we will prove that our proposed method for l-diversity can result in a better tradeoff between privacy and utility of the anonymized database. (More)

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Paper citation in several formats:
Sei, Y. and Ohsuga, A. (2014). Randomized Addition of Sensitive Attributes for l-diversity.In Proceedings of the 11th International Conference on Security and Cryptography - Volume 1: SECRYPT, (ICETE 2014) ISBN 978-989-758-045-1, ISSN 2184-2825, pages 350-360. DOI: 10.5220/0005058203500360

author={Yuichi Sei. and Akihiko Ohsuga.},
title={Randomized Addition of Sensitive Attributes for l-diversity},
booktitle={Proceedings of the 11th International Conference on Security and Cryptography - Volume 1: SECRYPT, (ICETE 2014)},


JO - Proceedings of the 11th International Conference on Security and Cryptography - Volume 1: SECRYPT, (ICETE 2014)
TI - Randomized Addition of Sensitive Attributes for l-diversity
SN - 978-989-758-045-1
AU - Sei, Y.
AU - Ohsuga, A.
PY - 2014
SP - 350
EP - 360
DO - 10.5220/0005058203500360

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