Blockchain-Empowered Edge Intelligence for Internet of Medical Things against COVID-19

被引：17

作者：

Dai H.-N. ^{[1
]}

Wu Y. ^{[2
]}

Wang H. ^{[3
]}

Imran M. ^{[4
]}

Haider N. ^{[5
]}

机构：

[1] College of Engineering and Science, Victoria University

来源：

IEEE Internet of Things Magazine | 2021年 / 4卷 / 02期

关键词：

Blockchain;

D O I：

10.1109/IOTM.0011.2100030

中图分类号：

学科分类号：

摘要：

We have witnessed an unprecedented public health crisis caused by the new coronavirus disease (COVID-19), which has severely affected medical institutions, our common lives, and social-economic activities. This crisis also reveals the brittleness of existing medical services, such as over-centralization of medical resources, the hysteresis of medical services digitalization, and weak security and privacy protection of medical data. The integration of the Internet of Medical Things (IoMT) and blockchain is expected to be a panacea to COVID-19 attributed to the ubiquitous presence and the perception of IoMT as well as the enhanced security and immutability of the blockchain. However, the synergy of IoMT and blockchain is also faced with challenges in privacy, latency, and context absence. The emerging edge intelligence technologies bring opportunities to tackle these issues. In this article, we present blockchain-empowered edge intelligence for IoMT in addressing the COVID-19 crisis. We first review IoMT, edge intelligence, and blockchain in addressing the COVID-19 pandemic. We then present an architecture of blockchain-empowered edge intelligence for IoMT after discussing the opportunities of integrating blockchain and edge intelligence. We next offer solutions to COVID-19 brought by blockchain-empowered edge intelligence from 1) monitoring and tracing COVID-19 pandemic origin, 2) traceable supply chain of injectable medicines and COVID-19 vaccines, and 3) telemedicine and remote healthcare services. Moreover, we also discuss the challenges and open issues in blockchain-empowered edge intelligence. © 2018 IEEE.

引用

页码：34 / 39

页数：5

共 15 条

[1]

Yang P., Et al., The effect of multiple interventions to balance healthcare demand for controlling COVID-19 outbreaks: A modelling study, Scientific Reports, 11, 3110, (2021)

[2]

Dai H.-N., Imran M., Haider N., Blockchain-enabled internet of medical things to combat COVID-19, IEEE Internet of Things Mag., pp. 52-57

[3]

Zhou X., Et al., Deep learning enhanced human activity recognition for internet of healthcare things, IEEE Internet of Things J., 7, 7, pp. 6429-6438, (2020)

[4]

Gatouillat A., Et al., Internet of medical things: A review of recent contributions dealing with cyber-physical systems in medicine, IEEE Internet of Things J., 5, 5, pp. 3810-3822, (2018)

[5]

Yang P., Et al., Lifelogging data validation model for internet of things enabled personalized healthcare, IEEE Trans. Systems, Man, and Cybernetics: Systems, 48, 1, pp. 50-64, (2018)

[6]

Vedaei S.S., Et al., COVIDSAFE: An IoT-based system for automated health monitoring and surveillance in post-pandemic life, IEEE Access., (2020)

[7]

Chamola V., Et al., Disaster and pandemic management using machine learning: A survey, IEEE Internet of Things J.., (2020)

[8]

Hakak S., Et al., Securing smart cities through blockchain technology: Architecture, requirements, and challenges, IEEE Network, 34, 1, pp. 8-14, (2020)

[9]

Lv W., Et al., Towards large-scale and privacy-preserving contact tracing in COVID-19 pandemic: A blockchain perspective, IEEE Trans. Network Science and Engineering., (2020)

[10]

Miller D.J., Xiang Z., Kesidis G., Adversarial learning targeting deep neural network classification: A comprehensive review of defenses against attacks, Proc. IEEE, 108, 3, pp. 402-433, (2020)

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