A privacy-preserving statistics marketplace using local differential privacy and blockchain: An application to smart-grid measurements sharing

Service providers usually require detailed statistics in order to improve their services. On the other hand, privacy concerns are intensifying and sensitive data is protected by legislation, such as GDPR (General Data Protection Regulation). In this paper, we present the design, implementation, and...

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Autores principales:	Nikos Fotiou, Iakovos Pittaras, Vasilios A. Siris, George C. Polyzos, Priit Anton
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Auditability Ethereum Fair exchange Smart contracts Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/acb291cd191c44c58dbfe31dce0a6a7c
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spelling	oai:doaj.org-article:acb291cd191c44c58dbfe31dce0a6a7c2021-11-22T04:23:36ZA privacy-preserving statistics marketplace using local differential privacy and blockchain: An application to smart-grid measurements sharing2666-953610.1016/j.bcra.2021.100022https://doaj.org/article/acb291cd191c44c58dbfe31dce0a6a7c2021-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2096720921000178https://doaj.org/toc/2666-9536Service providers usually require detailed statistics in order to improve their services. On the other hand, privacy concerns are intensifying and sensitive data is protected by legislation, such as GDPR (General Data Protection Regulation). In this paper, we present the design, implementation, and evaluation of a marketplace that allows “data consumers” to buy information from “data providers”, which can then be used for generating meaningful statistics. Additionally, our system enables “system operators” that can select which data providers are allowed to provide data, based on filtering criteria specified by the data consumer. We leverage local differential privacy to protect the data provider's privacy against data consumers, as well as against system operators, and we build a blockchain-based solution for ensuring fair exchange, and immutable data logs. Our design targets use cases that involve hundreds or even thousands of data providers. We prove the feasibility of our approach through a proof-of concept implementation of a measurement sharing application for smart-grid systems.Nikos FotiouIakovos PittarasVasilios A. SirisGeorge C. PolyzosPriit AntonElsevierarticleAuditabilityEthereumFair exchangeSmart contractsInformation technologyT58.5-58.64ENBlockchain: Research and Applications, Vol 2, Iss 1, Pp 100022- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Auditability Ethereum Fair exchange Smart contracts Information technology T58.5-58.64
spellingShingle	Auditability Ethereum Fair exchange Smart contracts Information technology T58.5-58.64 Nikos Fotiou Iakovos Pittaras Vasilios A. Siris George C. Polyzos Priit Anton A privacy-preserving statistics marketplace using local differential privacy and blockchain: An application to smart-grid measurements sharing
description	Service providers usually require detailed statistics in order to improve their services. On the other hand, privacy concerns are intensifying and sensitive data is protected by legislation, such as GDPR (General Data Protection Regulation). In this paper, we present the design, implementation, and evaluation of a marketplace that allows “data consumers” to buy information from “data providers”, which can then be used for generating meaningful statistics. Additionally, our system enables “system operators” that can select which data providers are allowed to provide data, based on filtering criteria specified by the data consumer. We leverage local differential privacy to protect the data provider's privacy against data consumers, as well as against system operators, and we build a blockchain-based solution for ensuring fair exchange, and immutable data logs. Our design targets use cases that involve hundreds or even thousands of data providers. We prove the feasibility of our approach through a proof-of concept implementation of a measurement sharing application for smart-grid systems.
format	article
author	Nikos Fotiou Iakovos Pittaras Vasilios A. Siris George C. Polyzos Priit Anton
author_facet	Nikos Fotiou Iakovos Pittaras Vasilios A. Siris George C. Polyzos Priit Anton
author_sort	Nikos Fotiou
title	A privacy-preserving statistics marketplace using local differential privacy and blockchain: An application to smart-grid measurements sharing
title_short	A privacy-preserving statistics marketplace using local differential privacy and blockchain: An application to smart-grid measurements sharing
title_full	A privacy-preserving statistics marketplace using local differential privacy and blockchain: An application to smart-grid measurements sharing
title_fullStr	A privacy-preserving statistics marketplace using local differential privacy and blockchain: An application to smart-grid measurements sharing
title_full_unstemmed	A privacy-preserving statistics marketplace using local differential privacy and blockchain: An application to smart-grid measurements sharing
title_sort	privacy-preserving statistics marketplace using local differential privacy and blockchain: an application to smart-grid measurements sharing
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/acb291cd191c44c58dbfe31dce0a6a7c
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A privacy-preserving statistics marketplace using local differential privacy and blockchain: An application to smart-grid measurements sharing

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