Privacy-preserving Content-based Publish/Subscribe with Encrypted Matching and Data Splitting

Nathanaël Denis, Pierre Chaffardon, Denis Conan, Maryline Laurent, Sophie Chabridon, Jean Leneutre

2020

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.

Paper Citation

in Harvard Style

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 - Volume 3: SECRYPT, ISBN 978-989-758-446-6, pages 405-414. DOI: 10.5220/0009833204050414

in Bibtex Style

@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 - Volume 3: SECRYPT,},
year={2020},
pages={405-414},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009833204050414},
isbn={978-989-758-446-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - Volume 3: SECRYPT,
TI - Privacy-preserving Content-based Publish/Subscribe with Encrypted Matching and Data Splitting
SN - 978-989-758-446-6
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