A Privacy-Preserving Healthcare Framework Using Hyperledger Fabric

Stamatellis, Charalampos; Papadopoulos, Pavlos; Pitropakis, Nikolaos; Katsikas, Sokratis; Buchanan, William J.

doi:10.3390/s20226587

Open AccessEditor’s ChoiceArticle

A Privacy-Preserving Healthcare Framework Using Hyperledger Fabric

by

Charalampos Stamatellis

¹

,

Pavlos Papadopoulos

^1,*

,

Nikolaos Pitropakis

^1,2

,

Sokratis Katsikas

^3,*

and

William J. Buchanan

¹

Blockpass ID Lab, School of Computing, Edinburgh Napier University, Edinburgh EH10 5DT, UK

²

Eight Bells LTD, Nicosia 2002, Cyprus

³

Department of Information Security and Communication Technology, Norwegian University of Science and Technology, 2815 Gjøvik, Norway

^*

Authors to whom correspondence should be addressed.

Sensors 2020, 20(22), 6587; https://doi.org/10.3390/s20226587

Submission received: 26 October 2020 / Revised: 11 November 2020 / Accepted: 16 November 2020 / Published: 18 November 2020

(This article belongs to the Collection Security, Trust and Privacy in New Computing Environments)

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Abstract

Electronic health record (EHR) management systems require the adoption of effective technologies when health information is being exchanged. Current management approaches often face risks that may expose medical record storage solutions to common security attack vectors. However, healthcare-oriented blockchain solutions can provide a decentralized, anonymous and secure EHR handling approach. This paper presents PREHEALTH, a privacy-preserving EHR management solution that uses distributed ledger technology and an Identity Mixer (Idemix). The paper describes a proof-of-concept implementation that uses the Hyperledger Fabric’s permissioned blockchain framework. The proposed solution is able to store patient records effectively whilst providing anonymity and unlinkability. Experimental performance evaluation results demonstrate the scheme’s efficiency and feasibility for real-world scale deployment.

Keywords: distributed ledger technology; electronic health records management; privacy-preserving; healthcare; Hyperledger Fabric; blockchain

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MDPI and ACS Style

Stamatellis, C.; Papadopoulos, P.; Pitropakis, N.; Katsikas, S.; Buchanan, W.J. A Privacy-Preserving Healthcare Framework Using Hyperledger Fabric. Sensors 2020, 20, 6587. https://doi.org/10.3390/s20226587

AMA Style

Stamatellis C, Papadopoulos P, Pitropakis N, Katsikas S, Buchanan WJ. A Privacy-Preserving Healthcare Framework Using Hyperledger Fabric. Sensors. 2020; 20(22):6587. https://doi.org/10.3390/s20226587

Chicago/Turabian Style

Stamatellis, Charalampos, Pavlos Papadopoulos, Nikolaos Pitropakis, Sokratis Katsikas, and William J. Buchanan. 2020. "A Privacy-Preserving Healthcare Framework Using Hyperledger Fabric" Sensors 20, no. 22: 6587. https://doi.org/10.3390/s20226587

APA Style

Stamatellis, C., Papadopoulos, P., Pitropakis, N., Katsikas, S., & Buchanan, W. J. (2020). A Privacy-Preserving Healthcare Framework Using Hyperledger Fabric. Sensors, 20(22), 6587. https://doi.org/10.3390/s20226587

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A Privacy-Preserving Healthcare Framework Using Hyperledger Fabric

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