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Authors: Nathanaël Denis 1 ; Pierre Chaffardon 1 ; Denis Conan 1 ; Maryline Laurent 1 ; Sophie Chabridon 1 and Jean Leneutre 2

Affiliations: 1 SAMOVAR, Télécom SudParis, Institut Polytechnique de Paris, France ; 2 LTCI, Télécom Paris, Institut Polytechnique de Paris, France

Keyword(s): Publish-subscribe, Privacy, Attribute-based Encryption, Data Splitting, Encrypted Matching.

Abstract: The content-based publish/subscribe paradigm enables a loosely-coupled and expressive form of communication. However, privacy preservation remains a challenge for distributed event-based middleware especially since encrypted matching incurs significant computing overhead. This paper adapts an existing attribute-based encryption scheme and combines it with data splitting, a non-cryptographic method called for alleviating the cost of encrypted matching. Data splitting enables to form groups of attributes that are sent apart over several independent broker networks so that it prevents the identification of an end-user; and, only identifying attributes are encrypted to prevent data leakage. The goal is to achieve an acceptable privacy level at an affordable computing price by encrypting only the necessary attributes, whose selection is determined through a Privacy Impact Assessment.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Denis, N.; Chaffardon, P.; Conan, D.; Laurent, M.; Chabridon, S. and Leneutre, J. (2020). Privacy-preserving Content-based Publish/Subscribe with Encrypted Matching and Data Splitting. In Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - SECRYPT, ISBN 978-989-758-446-6; ISSN 2184-7711, pages 405-414. DOI: 10.5220/0009833204050414

@conference{secrypt20,
author={Nathanaël Denis. and Pierre Chaffardon. and Denis Conan. and Maryline Laurent. and Sophie Chabridon. and Jean Leneutre.},
title={Privacy-preserving Content-based Publish/Subscribe with Encrypted Matching and Data Splitting},
booktitle={Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - SECRYPT,},
year={2020},
pages={405-414},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009833204050414},
isbn={978-989-758-446-6},
issn={2184-7711},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - SECRYPT,
TI - Privacy-preserving Content-based Publish/Subscribe with Encrypted Matching and Data Splitting
SN - 978-989-758-446-6
IS - 2184-7711
AU - Denis, N.
AU - Chaffardon, P.
AU - Conan, D.
AU - Laurent, M.
AU - Chabridon, S.
AU - Leneutre, J.
PY - 2020
SP - 405
EP - 414
DO - 10.5220/0009833204050414

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