A Decentralized Privacy-Preserving Healthcare Blockchain for IoT.

Ethereum Internet of Things authentication blockchain data preservation key management medical big data ring signature smart cities smart contract

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
15 Jan 2019
Historique:
received: 12 12 2018
revised: 02 01 2019
accepted: 10 01 2019
entrez: 18 1 2019
pubmed: 18 1 2019
medline: 8 2 2019
Statut: epublish

Résumé

Medical care has become one of the most indispensable parts of human lives, leading to a dramatic increase in medical big data. To streamline the diagnosis and treatment process, healthcare professionals are now adopting Internet of Things (IoT)-based wearable technology. Recent years have witnessed billions of sensors, devices, and vehicles being connected through the Internet. One such technology-remote patient monitoring-is common nowadays for the treatment and care of patients. However, these technologies also pose grave privacy risks and security concerns about the data transfer and the logging of data transactions. These security and privacy problems of medical data could result from a delay in treatment progress, even endangering the patient's life. We propose the use of a blockchain to provide secure management and analysis of healthcare big data. However, blockchains are computationally expensive, demand high bandwidth and extra computational power, and are therefore not completely suitable for most resource-constrained IoT devices meant for smart cities. In this work, we try to resolve the above-mentioned issues of using blockchain with IoT devices. We propose a novel framework of modified blockchain models suitable for IoT devices that rely on their distributed nature and other additional privacy and security properties of the network. These additional privacy and security properties in our model are based on advanced cryptographic primitives. The solutions given here make IoT application data and transactions more secure and anonymous over a blockchain-based network.

Identifiants

pubmed: 30650612
pii: s19020326
doi: 10.3390/s19020326
pmc: PMC6359727
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

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pubmed: 27239273
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pubmed: 30513733
BMJ. 2001 Feb 3;322(7281):283-7
pubmed: 11157533
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pubmed: 30082633
J Med Syst. 2016 Oct;40(10):218
pubmed: 27565509
Sensors (Basel). 2018 Aug 24;18(9):
pubmed: 30149523

Auteurs

Ashutosh Dhar Dwivedi (AD)

Institute of Computer Science, Polish Academy of Sciences, 01-248 Warsaw, Poland. ashudhar7@gmail.com.
Department of Mathematics and Computer Science, Brandon University, Brandon, MB R7A 6A9, Canada. ashudhar7@gmail.com.

Gautam Srivastava (G)

Department of Mathematics and Computer Science, Brandon University, Brandon, MB R7A 6A9, Canada. srivastavag@brandonu.ca.
Research Center for Interneural Computing, China Medical University, Taichung 40402, Taiwan. srivastavag@brandonu.ca.

Shalini Dhar (S)

Department of Electronics and Communication, University of Allahabad, Allahabad 211002, India. dhar.shalini@rediffmail.com.

Rajani Singh (R)

Institute of Computer Science, Polish Academy of Sciences, 01-248 Warsaw, Poland. rajanibabu7@gmail.com.
Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, 02-097 Warsaw, Poland. rajanibabu7@gmail.com.

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Classifications MeSH