From Confidential kNN Queries to Confidential Content-based Publish/Subscribe

Emanuel Onica, Hugues Mercier, Etienne Rivière

Abstract

Content-based publish/subscribe (pub/sub) is an effective paradigm for information dissemination in distributed systems. In brief, publishers generate feeds of information, and subscriber clients register their interests with a pub/sub service tasked with delivering the published data to interested subscribers. Modern pub/sub services are often externalized to public clouds. This brings economic advantages that are unfortunately overshadowed by associated security risks, in particular related to the confidentiality of both the published data as well as of the subscriptions. Guaranteeing confidentiality for content-based pub/sub in an efficient fashion is an active research area. A promising direction is to leverage specific cryptographic solutions that permit the execution of the pub/sub service over encrypted data. In this article we describe a simple and general methodology to derive new mechanisms for pub/sub confidentiality out of another category of data protection schemes: confidential kNN query mechanisms designed for encrypted databases. We exemplify this framework with a concrete use case. We believe that this initial step will lead to more secure and efficient adaptations of kNN solutions to the pub/sub domain.

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Paper Citation


in Harvard Style

Onica E., Mercier H. and Rivière E. (2019). From Confidential kNN Queries to Confidential Content-based Publish/Subscribe.In Proceedings of the 14th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-379-7, pages 677-682. DOI: 10.5220/0007950506770682


in Bibtex Style

@conference{icsoft19,
author={Emanuel Onica and Hugues Mercier and Etienne Rivière},
title={From Confidential kNN Queries to Confidential Content-based Publish/Subscribe},
booktitle={Proceedings of the 14th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2019},
pages={677-682},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007950506770682},
isbn={978-989-758-379-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - From Confidential kNN Queries to Confidential Content-based Publish/Subscribe
SN - 978-989-758-379-7
AU - Onica E.
AU - Mercier H.
AU - Rivière E.
PY - 2019
SP - 677
EP - 682
DO - 10.5220/0007950506770682