Abstract: The medical internet of things (MIoT) has affected radical transformations in people’s lives by offering innovative solutions to health-related issues. It enables healthcare pro-fessionals to continually monitor various medical concerns in their patients, without requiring visits to hospitals or healthcare professionals’ offices. The various MIoT systems and applications promote healthcare services that are more readily available, accessible, quality-controlled, and cost-effective. An essential requirement is to secure medical data when developing MIoT architectures, as MIoT devices produce considerable amounts of highly sensitive, diverse real-time data. The MIoT architectures discussed in previous works possessed numerous security issues. The integration of fog computing and MIoT is acknowledged as an encouraging and suitable solution for addressing the challenges within data security. In order to ensure data security and to prevent unauthorized access, medical information is kept in fog nodes, and safely transported to the cloud. This paper presents a secure fog-cloud architecture using attribute-based encryption for MIoT to protect medical data. It investigates the feasibility of the proposed architecture, and its ability to intercept security threats. The results demonstrate the feasibility of adopting the fog-based implementation to protect medical data, whilst conserving MIoT resources, and the capability to prevent various security attacks.

Suhair Alshehri and Tahani Almehmadi, “A Secure Fog-cloud Architecture using Attribute-based Encryption for the Medical Internet of Things (MIoT)” International Journal of Advanced Computer Science and Applications(IJACSA), 12(12), 2021. http://dx.doi.org/10.14569/IJACSA.2021.01212112

@article{Alshehri2021,
title = {A Secure Fog-cloud Architecture using Attribute-based Encryption for the Medical Internet of Things (MIoT)},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.01212112},
url = {http://dx.doi.org/10.14569/IJACSA.2021.01212112},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {12},
author = {Suhair Alshehri and Tahani Almehmadi}
}