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Healthcare Internet of Things (H-IoT): Current Trends, Future Prospects, Applications, Challenges, and Security Issuesopen access

Authors
Kumar, MohitKumar, AshwaniVerma, SahilBhattacharya, PronayaGhimire, DeepakKim, Seong-heumHosen, A. S. M. Sanwar
Issue Date
Apr-2023
Publisher
MDPI
Keywords
healthcare; IoT; big data; block chain; edge computing; software defined networks; machine learning; deep learning
Citation
ELECTRONICS, v.12, no.9
Journal Title
ELECTRONICS
Volume
12
Number
9
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/43942
DOI
10.3390/electronics12092050
ISSN
2079-9292
Abstract
Advancements in Healthcare Internet of Things (H-IoT) systems have created new opportunities and solutions for healthcare services, including the remote treatment and monitoring of patients. In addition, the security and privacy of personal health data must be ensured during data transfer. Security breaches in H-IoT can have serious safety and legal implications. This comprehensive review provides insights about secured data accession by employing cryptographic platforms such as H-IoT in big data, H-IoT in blockchain, H-IoT in machine learning and deep learning, H-IoT in edge computing, and H-IoT in software-defined networks. With this information, this paper reveals solutions to mitigate threats caused by different kinds of attacks. The prevailing challenges in H-IoT systems, including security and scalability challenges, real-time operating challenges, resource constraints, latency, and power consumption challenges are also addressed. We also discuss in detail the current trends in H-IoT, such as remote patient monitoring and predictive analytics. Additionally, we have explored future prospects, such as leveraging health data for informed strategic planning. A critical analysis performed by highlighting the prevailing limitations in H-IoT systems is also presented. This paper will hopefully provide future researchers with in-depth insights into the selection of appropriate cryptographic measures to adopt an energy-efficient and resource-optimized healthcare system.
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