Blockchain-Enabled Internet of Medical Things to Combat COVID-19

被引：65
作者：
Dai, Hong-Ning [1 ]
Imran, Muhammad [1 ]
Haider, Noman [1 ]
机构：
[1] Faculty of Information Technology, Macau University of Science and Technology
来源：
IEEE Internet of Things Magazine | 2020年 / 3卷 / 03期
关键词：
COVID-19 - Health care;
D O I：
10.1109/IOTM.0001.2000087
中图分类号：
学科分类号：
摘要：
We are experiencing an unprecedented healthcare crisis caused by newly discovered coronavirus disease (COVID-19). The outbreaks of COVID-19 reveal the frailties of existing healthcare systems. Therefore, the digital transformation of healthcare systems becomes an inevitable trend. During this process, the Internet of Medical Things (IoMT) plays a crucial role, while intrinsic vulnerabilities of security and privacy deter the wide adoption of IoMT. In this article, we present a blockchain-enabled IoMT to address the security and privacy concerns of IoMT systems. We also discuss the solutions brought by blockchain-enabled IoMT to COVID-19 from five different perspectives. Moreover, we outline the open challenges and future directions of blockchain-enabled IoMT. © 2018 IEEE.
引用
收藏
页码：52 / 57
页数：5
相关论文
共 15 条
  • [1] Shen M., Et al., Privacy-preserving image retrieval for medical iot systems: A blockchain-based approach, IEEE Network, 33, 5, pp. 27-33, (2019)
  • [2] Dai H.-N., Zheng Z., Zhang Y., Blockchain for internet of things: A survey, IEEE Internet of Things J., 6, 5, pp. 8076-8094, (2019)
  • [3] Zheng Z., Et al., An overview on smart contracts: Challenges, advances and platforms, Future Generation Computer Systems, 105, pp. 475-491, (2020)
  • [4] Ahmed M., Pathan A.K., Blockchain: Can it be trusted, Computer, 53, 4, pp. 31-35, (2020)
  • [5] Qadri Y.A., Et al., The future of healthcare internet of things: A survey of emerging technologies, IEEE Commun. Surveys & Tutorials, 22, 2, pp. 1121-1167, (2020)
  • [6] Boudagdigue C., Et al., Trust management in industrial internet of things, IEEE Trans. Info. Forensics and Security, (2020)
  • [7] Udugama B., Et al., Diagnosing covid-19: The disease and tools for detection, ACS Nano, 14, 4, pp. 3822-3835, (2020)
  • [8] Chen B., Et al., Self-aware autonomous city: From sensing to planning, IEEE Commun. Mag., 57, 4, pp. 33-39, (2019)
  • [9] Herland M., Khoshgoftaar T.M., Bauder R.A., Big data fraud detection using multiple medicare data sources, J. Big Data, 5, 1, (2018)
  • [10] Mackey T.K., Et al., Fit-forpurpose'-challenges and opportunities for applications of blockchain technology in the future of healthcare, BMC Medicine, 17, 1, pp. 1-17, (2019)
12