University of Oulu

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

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

Saved in:
Author: Hewa, Tharaka1; Braeken, An2; Ylianttila, Mika1;
Organizations: 1Centre for Wireless Communications, University of Oulu, Finland
2Vrije Universiteit Brussel, Brussels, Belgium
3School of Computer Science, University College Dublin, Ireland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202102175150
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2021-02-17
Description:

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.

see all

Series: IEEE Global Communications Conference
ISSN: 2334-0983
ISSN-E: 2576-6813
ISSN-L: 2334-0983
ISBN: 978-1-7281-8298-8
ISBN Print: 978-1-7281-8299-5
Article number: 9348125
DOI: 10.1109/GLOBECOM42002.2020.9348125
OADOI: https://oadoi.org/10.1109/GLOBECOM42002.2020.9348125
Host publication: GLOBECOM 2020 - 2020 IEEE Global Communications Conference
Conference: IEEE Global Communications Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
5G
IoT
Funding: This work was supported in part by the Academy of Finland Project 6Genesis Flagship (Grant No. 318927), RESPONSE 5G (Grant No: 789658) and the European Union's Horizon 2020 research and innovation programme under the INSPIRE-5Gplus project (Grant No. 871808). The paper reflects only the authors' views. The Commission is not responsible for any use that may be made of the information it contains.
EU Grant Number: (871808) INSPIRE-5Gplus - INtelligent Security and PervasIve tRust for 5G and Beyond
Academy of Finland Grant Number: 318927
789658
Detailed Information: 318927 (Academy of Finland Funding decision)
789658 (Academy of Finland Funding decision)
Copyright information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.