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Open Access

A Review of Privacy and Security of Edge Computing in Smart Healthcare Systems: Issues, Challenges, and Research Directions

Department of Computer Science, Jordan University of Science and Technology, Irbid 22110, Jordan
Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff CF5 2YB, UK
Department of Information and Computer Science, King Fahd University of Petroleum and Minerals, Dhahran 31261, Kingdom of Saudi Arabia
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Abstract

The healthcare industry is rapidly adapting to new computing environments and technologies. With academics increasingly committed to developing and enhancing healthcare solutions that combine the Internet of Things (IoT) and edge computing, there is a greater need than ever to adequately monitor the data being acquired, shared, processed, and stored. The growth of cloud, IoT, and edge computing models presents severe data privacy concerns, especially in the healthcare sector. However, rigorous research to develop appropriate data privacy solutions in the healthcare sector is still lacking. This paper discusses the current state of privacy-preservation solutions in IoT and edge healthcare applications. It identifies the common strategies often used to include privacy by the intelligent edges and technologies in healthcare systems. Furthermore, the study addresses the technical complexity, efficacy, and sustainability limits of these methods. The study also highlights the privacy issues and current research directions that have driven the IoT and edge healthcare solutions, with which more insightful future applications are encouraged.

Keywords

data privacyedge computingfog computinghealthcare systemsintelligent edges

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Tsinghua Science and Technology
Volume 29 Issue 4,
August 2024
Pages 1152-1180
DOI: 10.26599/TST.2023.9010080
Cite this article:
Alzu’bi A, Alomar A, Alkhaza’leh S, et al. A Review of Privacy and Security of Edge Computing in Smart Healthcare Systems: Issues, Challenges, and Research Directions. Tsinghua Science and Technology, 2024, 29(4): 1152-1180. https://doi.org/10.26599/TST.2023.9010080

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Received: 30 May 2023
Revised: 30 June 2023
Accepted: 27 July 2023
Published: 09 February 2024
© The Author(s) 2024.

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