Abstract
AbstractHealthcare has evolved significantly in recent years primarily due to the advancements in and increasing adoption of technology in healthcare processes such as data collection, storage, diagnostics, and treatment. The emergence of the industrial internet of things (IIoT) has further evolved e-Health by facilitating the development of connected healthcare systems which can significantly improve data connectivity, visibility, and interoperability leading to improved quality of service delivered to patients. However, such technological advancements come with their perils—there are growing concerns with regards to the security and privacy of healthcare data especially when collected, shared, and processed using cutting-edge connected sensor devices affecting the adoption of next-generation e-healthcare systems. In particular, during the front-end and back-end data transfer in health information exchange (HIE) there exist a security risk in term of confidentiality, integrity, authentication and access control of the data due to the limited capabilities of IoT devices involved. In this paper, we investigate the use of distributed ledger technologies (DLT) to address such security concerns for emerging healthcare systems. In particular, we use masked authenticated messaging (MAM) over the Tangle to achieve secure data sharing within a healthcare system and provide a proof-of-concept of applying the proposed approach for securing healthcare data in a connected IIoT environment. Further, we have performed the evaluation and analysis of data communication against the metrics of encryption and efficiency in transaction time.
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference103 articles.
1. Hammi B, Khatoun R, Zeadally S,Fayad A, Khoukhi L Internet of things (iot) technologies for smart cities, IET Networks 7. https://doi.org/10.1049/iet-net.2017.0163
2. Samih H (2019) Smart cities and internet of things. J Inf Technol Case Appl Res pp 1–10. https://doi.org/10.1080/15228053.2019.1587572
3. Rajab H, Cinkler T (2018). Iot based smart cities. https://doi.org/10.1109/ISNCC.2018.8530997
4. Tao F, Zuo Y, Da Xu L, Zhang L (2014) Iot-based intelligent perception and access of manufacturing resource toward cloud manufacturing. IEEE Trans Industr Inf 10(2):1547–1557
5. Cheng J, Chen W, Tao F, Lin C-L (2018) Industrial iot in 5g environment towards smart manufacturing, Journal of Industrial Information. Integration 10:10–19
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