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Authors: Radu Ciucanu 1 ; Matthieu Giraud 2 ; Pascal Lafourcarde 2 and Lihua Ye 3

Affiliations: 1 INSA Centre Val de Loire, Univ. Orléans, LIFO EA 4022, Bourges and France ; 2 LIMOS, UMR 6158, Université Clermont Auvergne, Aubière and France ; 3 Harbin Institute of Technology and China

ISBN: 978-989-758-378-0

Keyword(s): Intersection, Database, Privacy, Security, MapReduce.

Related Ontology Subjects/Areas/Topics: Applied Cryptography ; Cryptographic Techniques and Key Management ; Data Engineering ; Database Security and Privacy ; Databases and Data Security ; Information and Systems Security ; Security and Privacy for Big Data ; Security and Privacy in the Cloud ; Security in Information Systems

Abstract: Relation intersection is a fundamental problem, which becomes non-trivial when the relations to be intersected are too large to fit on a single machine. Hence, a natural approach is to design parallel algorithms that are executed on a cluster of machines rented from a public cloud provider. Intersection of relations becomes even more difficult when each relation belongs to a different data owner that wants to protect her data privacy. We consider the popular MapReduce paradigm for outsourcing data and computations to a semi-honest public cloud. Our main contribution is the SI protocol (for Secure Intersection) that allows to securely compute the intersection of an arbitrary number of relations, each of them being encrypted by its owner. The user allowed to query the intersection result has only to decrypt the result sent by the public cloud. SI does not leak (to the public cloud or to the user) any information on tuples that are not in the final relation intersection result, even if t he public cloud and the user collude i.e., they share all their private information. We prove the security of SI and provide an empirical evaluation showing its efficiency. (More)

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Paper citation in several formats:
Ciucanu, R.; Giraud, M.; Lafourcarde, P. and Ye, L. (2019). Secure Intersection with MapReduce.In Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - Volume 2: SECRYPT, ISBN 978-989-758-378-0, pages 236-243. DOI: 10.5220/0007918902360243

@conference{secrypt19,
author={Radu Ciucanu. and Matthieu Giraud. and Pascal Lafourcarde. and Lihua Ye.},
title={Secure Intersection with MapReduce},
booktitle={Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - Volume 2: SECRYPT,},
year={2019},
pages={236-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007918902360243},
isbn={978-989-758-378-0},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - Volume 2: SECRYPT,
TI - Secure Intersection with MapReduce
SN - 978-989-758-378-0
AU - Ciucanu, R.
AU - Giraud, M.
AU - Lafourcarde, P.
AU - Ye, L.
PY - 2019
SP - 236
EP - 243
DO - 10.5220/0007918902360243

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