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An Architecture for Managing Data Privacy in Healthcare with Blockchain

With the fast development of blockchain technology in the latest years, its application in scenarios that require privacy, such as health area, have become encouraged and widely discussed. This paper presents an architecture to ensure the privacy of health-related data, which are stored and shared w...

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Detalles Bibliográficos
Autores principales: de Moraes Rossetto, Anubis Graciela, Sega, Christofer, Leithardt, Valderi Reis Quietinho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654094/
https://www.ncbi.nlm.nih.gov/pubmed/36365991
http://dx.doi.org/10.3390/s22218292
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author de Moraes Rossetto, Anubis Graciela
Sega, Christofer
Leithardt, Valderi Reis Quietinho
author_facet de Moraes Rossetto, Anubis Graciela
Sega, Christofer
Leithardt, Valderi Reis Quietinho
author_sort de Moraes Rossetto, Anubis Graciela
collection PubMed
description With the fast development of blockchain technology in the latest years, its application in scenarios that require privacy, such as health area, have become encouraged and widely discussed. This paper presents an architecture to ensure the privacy of health-related data, which are stored and shared within a blockchain network in a decentralized manner, through the use of encryption with the RSA, ECC, and AES algorithms. Evaluation tests were performed to verify the impact of cryptography on the proposed architecture in terms of computational effort, memory usage, and execution time. The results demonstrate an impact mainly on the execution time and on the increase in the computational effort for sending data to the blockchain, which is justifiable considering the privacy and security provided with the architecture and encryption.
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spelling pubmed-96540942022-11-15 An Architecture for Managing Data Privacy in Healthcare with Blockchain de Moraes Rossetto, Anubis Graciela Sega, Christofer Leithardt, Valderi Reis Quietinho Sensors (Basel) Article With the fast development of blockchain technology in the latest years, its application in scenarios that require privacy, such as health area, have become encouraged and widely discussed. This paper presents an architecture to ensure the privacy of health-related data, which are stored and shared within a blockchain network in a decentralized manner, through the use of encryption with the RSA, ECC, and AES algorithms. Evaluation tests were performed to verify the impact of cryptography on the proposed architecture in terms of computational effort, memory usage, and execution time. The results demonstrate an impact mainly on the execution time and on the increase in the computational effort for sending data to the blockchain, which is justifiable considering the privacy and security provided with the architecture and encryption. MDPI 2022-10-29 /pmc/articles/PMC9654094/ /pubmed/36365991 http://dx.doi.org/10.3390/s22218292 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
de Moraes Rossetto, Anubis Graciela
Sega, Christofer
Leithardt, Valderi Reis Quietinho
An Architecture for Managing Data Privacy in Healthcare with Blockchain
title An Architecture for Managing Data Privacy in Healthcare with Blockchain
title_full An Architecture for Managing Data Privacy in Healthcare with Blockchain
title_fullStr An Architecture for Managing Data Privacy in Healthcare with Blockchain
title_full_unstemmed An Architecture for Managing Data Privacy in Healthcare with Blockchain
title_short An Architecture for Managing Data Privacy in Healthcare with Blockchain
title_sort architecture for managing data privacy in healthcare with blockchain
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654094/
https://www.ncbi.nlm.nih.gov/pubmed/36365991
http://dx.doi.org/10.3390/s22218292
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