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Multi-access edge computing and blockchain-based secure telehealth system connected with 5G and IoT

Hewa, Tharaka; Braeken, An; Ylianttila, Mika; Liyanage, Madhusanka (2021-02-15)

 
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https://doi.org/10.1109/GLOBECOM42002.2020.9348125

Hewa, Tharaka
Braeken, An
Ylianttila, Mika
Liyanage, Madhusanka
Institute of Electrical and Electronics Engineers
15.02.2021

T. Hewa, A. Braeken, M. Ylianttila and M. Liyanage, "Multi-Access Edge Computing and Blockchain-based Secure Telehealth System Connected with 5G and IoT," GLOBECOM 2020 - 2020 IEEE Global Communications Conference, Taipei, Taiwan, 2020, pp. 1-6, doi: 10.1109/GLOBECOM42002.2020.9348125

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doi:https://doi.org/10.1109/GLOBECOM42002.2020.9348125
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Abstract

There is a global hype in the development of digital healthcare infrastructure to cater the massive elderly population and infectious diseases. The digital facilitation is expected to ensure the patient privacy, scalability, and data integrity on the sensitive life critical healthcare data, while aligning to the global healthcare data protection standards. The patient data sharing to third parties such as research institutions and universities is also concerned as a significant contribution to the society to sharpen the research and investigations. The emergence of 5G communication technologies eradicates the borders between patients, hospital and other institutions with high end service standards. In patients’ perspective, healthcare service delivery through the digital medium is beneficial in terms of time, costs, and risks. In this paper, we propose a novel Multi-access Edge Computing(MEC) and blockchain based service architecture utilizing the lightweight ECQV (Elliptic Curve Qu-Vanstone) certificates for the realtime data privacy, integrity, and authentication between IoT, MEC, and cloud. We further attached storage offloading capability to the blockchain to ensure scalability with a massive number of connected medical devices to the cloud. We introduced a rewarding scheme to the patients and hospitals through the blockchain to encourage data sharing. The access control is handled through the smart contracts. We evaluated the proposed system in a near realistic implementation using Hyperledger Fabric blockchain platform with Raspberry Pi devices to simulate the activity of the medical sensors.

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