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A Blockchain-Based End-to-End Data Protection Model for Personal Health Records Sharing: A Fully Homomorphic Encryption Approach

Personal health records (PHR) represent health data managed by a specific individual. Traditional solutions rely on centralized architectures to store and distribute PHR, which are more vulnerable to security breaches. To address such problems, distributed network technologies, including blockchain...

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Autores principales: Vanin, Fausto Neri da Silva, Policarpo, Lucas Micol, Righi, Rodrigo da Rosa, Heck, Sandra Marlene, da Silva, Valter Ferreira, Goldim, José, da Costa, Cristiano André
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823636/
https://www.ncbi.nlm.nih.gov/pubmed/36616613
http://dx.doi.org/10.3390/s23010014
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author Vanin, Fausto Neri da Silva
Policarpo, Lucas Micol
Righi, Rodrigo da Rosa
Heck, Sandra Marlene
da Silva, Valter Ferreira
Goldim, José
da Costa, Cristiano André
author_facet Vanin, Fausto Neri da Silva
Policarpo, Lucas Micol
Righi, Rodrigo da Rosa
Heck, Sandra Marlene
da Silva, Valter Ferreira
Goldim, José
da Costa, Cristiano André
author_sort Vanin, Fausto Neri da Silva
collection PubMed
description Personal health records (PHR) represent health data managed by a specific individual. Traditional solutions rely on centralized architectures to store and distribute PHR, which are more vulnerable to security breaches. To address such problems, distributed network technologies, including blockchain and distributed hash tables (DHT) are used for processing, storing, and sharing health records. Furthermore, fully homomorphic encryption (FHE) is a set of techniques that allows the calculation of encrypted data, which can help to protect personal privacy in data sharing. In this context, we propose an architectural model that applies a DHT technique called the interplanetary protocol file system and blockchain networks to store and distribute data and metadata separately; two new elements, called data steward and shared data vault, are introduced in this regard. These new modules are responsible for segregating responsibilities from health institutions and promoting end-to-end encryption; therefore, a person can manage data encryption and requests for data sharing in addition to restricting access to data for a predefined period. In addition to supporting calculations on encrypted data, our contribution can be summarized as follows: (i) mitigation of risk to personal privacy by reducing the use of unencrypted data, and (ii) improvement of semantic interoperability among health institutions by using distributed networks for standardized PHR. We evaluated performance and storage occupation using a database with 1.3 million COVID-19 registries, which showed that combining FHE with distributed networks could redefine e-health paradigms.
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spelling pubmed-98236362023-01-08 A Blockchain-Based End-to-End Data Protection Model for Personal Health Records Sharing: A Fully Homomorphic Encryption Approach Vanin, Fausto Neri da Silva Policarpo, Lucas Micol Righi, Rodrigo da Rosa Heck, Sandra Marlene da Silva, Valter Ferreira Goldim, José da Costa, Cristiano André Sensors (Basel) Article Personal health records (PHR) represent health data managed by a specific individual. Traditional solutions rely on centralized architectures to store and distribute PHR, which are more vulnerable to security breaches. To address such problems, distributed network technologies, including blockchain and distributed hash tables (DHT) are used for processing, storing, and sharing health records. Furthermore, fully homomorphic encryption (FHE) is a set of techniques that allows the calculation of encrypted data, which can help to protect personal privacy in data sharing. In this context, we propose an architectural model that applies a DHT technique called the interplanetary protocol file system and blockchain networks to store and distribute data and metadata separately; two new elements, called data steward and shared data vault, are introduced in this regard. These new modules are responsible for segregating responsibilities from health institutions and promoting end-to-end encryption; therefore, a person can manage data encryption and requests for data sharing in addition to restricting access to data for a predefined period. In addition to supporting calculations on encrypted data, our contribution can be summarized as follows: (i) mitigation of risk to personal privacy by reducing the use of unencrypted data, and (ii) improvement of semantic interoperability among health institutions by using distributed networks for standardized PHR. We evaluated performance and storage occupation using a database with 1.3 million COVID-19 registries, which showed that combining FHE with distributed networks could redefine e-health paradigms. MDPI 2022-12-20 /pmc/articles/PMC9823636/ /pubmed/36616613 http://dx.doi.org/10.3390/s23010014 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
Vanin, Fausto Neri da Silva
Policarpo, Lucas Micol
Righi, Rodrigo da Rosa
Heck, Sandra Marlene
da Silva, Valter Ferreira
Goldim, José
da Costa, Cristiano André
A Blockchain-Based End-to-End Data Protection Model for Personal Health Records Sharing: A Fully Homomorphic Encryption Approach
title A Blockchain-Based End-to-End Data Protection Model for Personal Health Records Sharing: A Fully Homomorphic Encryption Approach
title_full A Blockchain-Based End-to-End Data Protection Model for Personal Health Records Sharing: A Fully Homomorphic Encryption Approach
title_fullStr A Blockchain-Based End-to-End Data Protection Model for Personal Health Records Sharing: A Fully Homomorphic Encryption Approach
title_full_unstemmed A Blockchain-Based End-to-End Data Protection Model for Personal Health Records Sharing: A Fully Homomorphic Encryption Approach
title_short A Blockchain-Based End-to-End Data Protection Model for Personal Health Records Sharing: A Fully Homomorphic Encryption Approach
title_sort blockchain-based end-to-end data protection model for personal health records sharing: a fully homomorphic encryption approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823636/
https://www.ncbi.nlm.nih.gov/pubmed/36616613
http://dx.doi.org/10.3390/s23010014
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