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
Novel smart homecare IoT system with edge-AI and blockchain
|Author:||Nguyen, Tri1; Nguyen Gia, Tuan2|
1University of Oulu, Erkki Koiso-Kanttilan katu 3, Oulu, Finland
2University of Turku, Vesilinantie 5, 20500, Turku, Finland
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2023041135707
|Publish Date:|| 2025-03-10
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.
Studies in big data
|ISBN Print:||978-981-19-8729-8 978-981-19-8732-8|
|Pages:||293 - 317|
Blockchain and its applications in industry 4.0
|Host publication editor:||
|Type of Publication:||
A3 Book chapter
|Field of Science:||
113 Computer and information sciences
213 Electronic, automation and communications engineering, electronics
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).
|Academy of Finland Grant Number:||
346208 (Academy of Finland Funding decision)
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.