Secure Data Transfer and Provenance for Distributed Healthcare

Michala, A. L. , Attar, H. and Vourganas, I. (2022) Secure Data Transfer and Provenance for Distributed Healthcare. In: Chakraborty, C. and Khosravi, M. R. (eds.) Intelligent Healthcare: Infrastructure, Algorithms and Management. Springer: Singapore, pp. 241-260. ISBN 9789811681493 (doi: 10.1007/978-981-16-8150-9_11)

Abstract

The rise of the Internet of Things (IoT) has enabled a shift to a smart, remote, and more distributed healthcare ecosystem supported by learning-based secure Internet of Medical Things (IoMT). Infrastructure availability is a barrier. The distributed and layered architecture of IoMT another. Trust must be addressed across the full stack and involves challenges in security, privacy, and edge intelligence. This chapter’s objective is to examine the state-of-the-art in security, privacy preservation and provenance of data generated by the IoMT and identify challenges and opportunities. The chapter highlights the existing security and challenges and how they can be addressed from the incorporation of blockchain technologies. Also, it discusses the challenges generated by infrastructure availability and suggests edge computing and federated learning as opportunities to address IoMT service provision where infrastructure is lacking. To demonstrate the feasibility of the proposed solutions a state-of-the-art exemplar system is examined. The system is designed with trustworthy Artificial Intelligence (AI) principles in mind and the results demonstrate not only the benefit for remote diagnostics but also the improvements in security, privacy preservation and provenance when transferring and processing data. The chapter proposes future directions of research to enhance transfer and provenance in distributed healthcare data.

• Item Type: Book Sections
• Status: Published
• Glasgow Author(s) Enlighten ID: Michala, Dr Lito
• Authors: Michala, A. L., Attar, H., and Vourganas, I.
• College/School: College of Science and Engineering > School of Computing Science
• Publisher: Springer
• ISBN: 9789811681493
• Published Online: 03 June 2022

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