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Authors: Emanuel Onica 1 ; Hugues Mercier 2 and Etienne Rivière 3

Affiliations: 1 Faculty of Computer Science, Alexandru Ioan Cuza University of Iaşi and Romania ; 2 Institute of Computer Science, University of Neuchâtel and Switzerland ; 3 ICTEAM, UCLouvain and Belgium

Keyword(s): Publish/Subscribe, Data Confidentiality, Security, kNN Queries, Information Dissemination.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Cloud Computing ; Data Engineering ; Databases and Data Security

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: conf idential 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. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 - ICSOFT; ISBN 978-989-758-379-7; ISSN 2184-2833, SciTePress, pages 677-682. DOI: 10.5220/0007950506770682

@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 - ICSOFT},
year={2019},
pages={677-682},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007950506770682},
isbn={978-989-758-379-7},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Software Technologies - ICSOFT
TI - From Confidential kNN Queries to Confidential Content-based Publish/Subscribe
SN - 978-989-758-379-7
IS - 2184-2833
AU - Onica, E.
AU - Mercier, H.
AU - Rivière, E.
PY - 2019
SP - 677
EP - 682
DO - 10.5220/0007950506770682
PB - SciTePress