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A Decentralized Peer-to-Peer Remote Health Monitoring System

OpenIoT Research Unit, ICT Center, Fondazione Bruno Kessler, 38100 Trento, Italy
School of Computer Science and Engineering, University of New South Wales, Sydney NSW 2052, Australia
Author to whom correspondence should be addressed.
Sensors 2020, 20(6), 1656;
Received: 8 January 2020 / Revised: 12 March 2020 / Accepted: 13 March 2020 / Published: 16 March 2020
(This article belongs to the Special Issue Blockchains in the Era of Smart Sensors)
Within the Internet of Things (IoT) and blockchain research, there is a growing interest in decentralizing health monitoring systems, to provide improved privacy to patients, without relying on trusted third parties for handling patients’ sensitive health data. With public blockchain deployments being severely limited in their scalability, and inherently having latency in transaction processing, there is room for researching and developing new techniques to leverage the security features of blockchains within healthcare applications. This paper presents a solution for patients to share their biomedical data with their doctors without their data being handled by trusted third party entities. The solution is built on the Ethereum blockchain as a medium for negotiating and record-keeping, along with Tor for delivering data from patients to doctors. To highlight the applicability of the solution in various health monitoring scenarios, we have considered three use-cases, namely cardiac monitoring, sleep apnoea testing, and EEG following epileptic seizures. Following the discussion about the use cases, the paper outlines a security analysis performed on the proposed solution, based on multiple attack scenarios. Finally, the paper presents and discusses a performance evaluation in terms of data delivery time in comparison to existing centralized and decentralized solutions. View Full-Text
Keywords: blockchains; IoT; healthcare; remote health monitoring; privacy; trust; trustless architectures blockchains; IoT; healthcare; remote health monitoring; privacy; trust; trustless architectures
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MDPI and ACS Style

Ali, M.S.; Vecchio, M.; Putra, G.D.; Kanhere, S.S.; Antonelli, F. A Decentralized Peer-to-Peer Remote Health Monitoring System. Sensors 2020, 20, 1656.

AMA Style

Ali MS, Vecchio M, Putra GD, Kanhere SS, Antonelli F. A Decentralized Peer-to-Peer Remote Health Monitoring System. Sensors. 2020; 20(6):1656.

Chicago/Turabian Style

Ali, Muhammad S., Massimo Vecchio, Guntur D. Putra, Salil S. Kanhere, and Fabio Antonelli. 2020. "A Decentralized Peer-to-Peer Remote Health Monitoring System" Sensors 20, no. 6: 1656.

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