Issue |
Security and Safety
Volume 2, 2023
|
|
---|---|---|
Article Number | 2022010 | |
Number of page(s) | 41 | |
Section | Medical and Healthcare | |
DOI | https://doi.org/10.1051/sands/2022010 | |
Published online | 31 January 2023 |
Review
A review of security issues and solutions for precision health in Internet-of-Medical-Things systems
1
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
2
University of Calabria, Rende 87036, Italy
3
Ningbo University of Technology, Ningbo 315211, China
* Corresponding author (email: ye.li@siat.ac.cn)
Received:
10
June
2022
Accepted:
2
December
2022
Precision medicine provides a holistic perspective of an individual’s health, including genetic, environmental, and lifestyle aspects to realize individualized therapy. The development of the internet of things (IoT) devices, the widespread emergence of electronic medical records (EMR), and the rapid progress of cloud computing and artificial intelligence provide an opportunity to collect healthcare big data throughout the lifespan and analyze the disease risk at all stages of life. Thus, the focus of precision medicine is shifting from treatment toward prediction and prevention, i.e., precision health. To this end, various types of data such as omics, imaging, EMR, continuous physiological monitoring, lifestyle, and environmental information, need to be collected, tracked, managed and shared. Thus, internet-of-medical things (IoMT) is crucial for assimilating the health systems, applications, services, and devices that can improve the speed and accuracy of diagnosis and treatments along with real-time monitoring and modification of patient behavior as well as health status. However, security has emerged as a growing concern owing to the proliferation of IoMT devices. The increasing interconnectivity of IoMT-enabled devices with health data reception, transmission, and processing significantly increases the number of potential vulnerabilities within a system. To address the security issues of precision health in IoMT systems, this study reviews the state-of-the-art techniques and schemes from the perspective of a hierarchical system architecture. We present an IoMT system model comprising three layers: the sensing layer, network layer, and cloud infrastructure layer. In particular, we discuss the vulnerabilities and threats to security in each layer and review the existing security techniques and schemes corresponding to the system components along with their functionalities. Owing to the unique nature of biometric features in medical and health services, we highlight the biometrics-based technologies applied in IoMT systems, which contribute toward a considerable difference between the security solutions of existing IoT systems. Furthermore, we summarize the challenges and future research directions of IoMT systems to ensure an improved and more secure future of precision health.
Key words: Precision health / Internet-of-Medical-Things / Security in hierarchical systems / Biometrics-based security
Citation: Li N, Xu M and Li Q et al. A review of security issues and solutions for precision health in Internet-of-Medical-Things systems. Security and Safety 2023; 2: 2022010. https://doi.org/10.1051/sands/2022010
Note to the reader: In the HTML version, the order of the authors' portraits has been updated on 12 January 2024.
© The Author(s) 2023. Published by EDP Sciences and China Science Publishing & Media Ltd.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.