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Novel Smart Homecare IoT System with Edge-AI and Blockchain

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Part of the book series: Studies in Big Data ((SBD,volume 119))

Abstract

Healthcare data is sensitive information that demands security and confidentiality. Currently, remote monitoring is widely applied as it provides many advantages, including improving the quality of healthcare services. However, data must be transmitted and exchanged over a network or Internet where authorized parties can leverage invulnerability in remote health monitoring systems. Although many previous studies mention possible solutions for an intelligent healthcare system, healthcare challenges are still open, mainly in the centralized system. Thus, attention to a decentralized environment has recently risen in healthcare system construction. However, a decentralized formation requires a specific technology to store and reliably communicate among network participants immutably. As the candidate for this consideration, blockchain technology is a prominent solution to forming decentralized systems. Further, due to the demand for swift reaction, alerts require the minimization of latency in communication, which brings to the examination of edge computing. This work introduces a novel intelligent homecare system based on blockchain technology placed at the network’s edge. The proposed system overcomes the existing system’s security limitations and provides advanced services that help in improving the quality of healthcare service.

These authors contributed equally.

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Notes

  1. 1.

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Acknowledgements

Tri Nguyen is supported in a strategic research project TrustedMaaS under focus institute Infotech Oulu, University of Oulu, Nokia foundation, Tauno Tönning Foundation, and Academy of Finland, 6G Flagship program (grant 346208).

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Correspondence to Tri Nguyen or Tuan Nguyen Gia .

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Nguyen, T., Nguyen Gia, T. (2023). Novel Smart Homecare IoT System with Edge-AI and Blockchain. In: Namasudra, S., Akkaya, K. (eds) Blockchain and its Applications in Industry 4.0. Studies in Big Data, vol 119. Springer, Singapore. https://doi.org/10.1007/978-981-19-8730-4_10

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  • DOI: https://doi.org/10.1007/978-981-19-8730-4_10

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