Abstract: The potential of Internet-of-Things (IoT) in healthcare is evident in its ability to connect medical equipment, sensors, and healthcare personnel to provide high-quality medical expertise in remote locations. The constraints faced by these devices such as limited storage, power, and energy resources necessitate the need for a lightweight authentication mechanism that is both efficient and secure. This study contributes by exploring challenges and lightweight authentication advancement, focusing on their efficiency on the Internet-of-Medical-Things (IoMT). A review of recent literature reveals ongoing issues such as the high complexity of cryptographic operations, scalability challenges, and security vulnerabilities in the proposed authentication systems. These findings lead to the need for multi-factor authentication with a simplified cryptographic process and more efficient aggregated management practices tailored to the constraints of IoMT environments. This study also introduces an extended taxonomy, namely, Lightweight Aggregated Authentication Solutions (LAAS), a lightweight efficiency approach that includes a streamlined authentication process and aggregated authentication, providing an understanding of lightweight authentication approaches. By identifying critical research gaps and future research directions, this study aims to provide a secure authentication protocol for IoMT and similar resource-constraint domains.

Azlina Ahmadi Julaihi, Md Asri Ngadi and Raja Zahilah binti Raja Mohd Radzi, “A Comprehensive Authentication Taxonomy and Lightweight Considerations in the Internet-of-Medical-Things (IoMT)” International Journal of Advanced Computer Science and Applications(IJACSA), 15(8), 2024. http://dx.doi.org/10.14569/IJACSA.2024.01508100

@article{Julaihi2024,
title = {A Comprehensive Authentication Taxonomy and Lightweight Considerations in the Internet-of-Medical-Things (IoMT)},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.01508100},
url = {http://dx.doi.org/10.14569/IJACSA.2024.01508100},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {8},
author = {Azlina Ahmadi Julaihi and Md Asri Ngadi and Raja Zahilah binti Raja Mohd Radzi}
}