An Enhanced Multi-Factor Device Authentication Protocol in IoLT Healthcare Environment
Tuan Vinh Le
1, 2
,
Ming Hour Yang
3, 4
,
Khalid Mahmood
5, 6
,
Hamed Taherdoost
7, 8
,
Chun-Ta Li
1, 2
,
Cheng-Chi Lee
9
,
Anwar Ghani
10, 11
,
Cheng-Tsung Chen
12, 13
4
5
Graduate School of Intelligent Data Science, National Yunlin University of Science and Technology, Yunlin, Taiwan, Republic of China, R.O.C.
|
7
Department of Arts, Communications and Social Sciences, University Canada West, Vancouver, Canada
|
8
Department of Arts, Communications and Social Sciences, University Canada West, Vancouver, BC, Canada
|
9
11
12
ACSI Cyber Security Academy, Taipei, Republic of China, R.O.C.
|
13
ACSI Cyber Security Academy, Taipei, Taiwan
|
Publication type: Journal Article
Publication date: 2025-03-01
scimago Q1
wos Q1
SJR: 1.941
CiteScore: 13.1
Impact factor: 7.9
ISSN: 23274697, 2334329X
Abstract
Mobile sequencing enables a rapid process of determining the order of nucleotides in deoxyribonucleic acid (DNA). The process is carried out by portable sequencers, which are the main element in the internet of living things (IoLT). This approach assists in obtaining rapid biological insights at the source regardless of the patient's geographical location, for efficient care therapies as well as scientific discovery. Sequencing data and/or related analytical results produced in various formats will be sent from the sequencer to medical experts or healthcare professionals for performing the services. Communication in such IoLT environments encounters certain security concerns regarding information confidentiality and data integrity. Recently, Ren et al. proposed an anonymous user authentication scheme securing IoT communications, which is applicable to the IoLT. However, we found their work has some serious security issues, e.g., it is vulnerable to man-in-the-middle attacks, stolen-device attacks, etc. This paper proposes an enhanced multi-factor device authentication (MFDA) protocol to address all weaknesses of Ren et al.β s work. In addition to the inherent device-to-cloud communication function, some other novel properties are supported in the MFDA, including group-oriented device-to-device communication, password and biometrics alteration, device revocation, and regrouping function. Security and performance evaluation shows that our protocol is robust against various attacks with a rational implementation cost. The proposed work paves a new way for future research ideas that further discover IoLT applications in the healthcare sector.
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IEEE Open Journal of the Communications Society
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Institute of Electrical and Electronics Engineers (IEEE)
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Total citations:
3
Citations from 2024:
3
(100%)
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Le T. V. et al. An Enhanced Multi-Factor Device Authentication Protocol in IoLT Healthcare Environment // IEEE Transactions on Network Science and Engineering. 2025. Vol. 12. No. 2. pp. 571-583.
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Le T. V., Yang M. H., Mahmood K., Taherdoost H., Li C., Lee C., Ghani A., Cheng-Tsung Chen An Enhanced Multi-Factor Device Authentication Protocol in IoLT Healthcare Environment // IEEE Transactions on Network Science and Engineering. 2025. Vol. 12. No. 2. pp. 571-583.
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TY - JOUR
DO - 10.1109/tnse.2024.3498864
UR - https://ieeexplore.ieee.org/document/10756638/
TI - An Enhanced Multi-Factor Device Authentication Protocol in IoLT Healthcare Environment
T2 - IEEE Transactions on Network Science and Engineering
AU - Le, Tuan Vinh
AU - Yang, Ming Hour
AU - Mahmood, Khalid
AU - Taherdoost, Hamed
AU - Li, Chun-Ta
AU - Lee, Cheng-Chi
AU - Ghani, Anwar
AU - Cheng-Tsung Chen
PY - 2025
DA - 2025/03/01
PB - Institute of Electrical and Electronics Engineers (IEEE)
SP - 571-583
IS - 2
VL - 12
SN - 2327-4697
SN - 2334-329X
ER -
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@article{2025_Le,
author = {Tuan Vinh Le and Ming Hour Yang and Khalid Mahmood and Hamed Taherdoost and Chun-Ta Li and Cheng-Chi Lee and Anwar Ghani and Cheng-Tsung Chen},
title = {An Enhanced Multi-Factor Device Authentication Protocol in IoLT Healthcare Environment},
journal = {IEEE Transactions on Network Science and Engineering},
year = {2025},
volume = {12},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
month = {mar},
url = {https://ieeexplore.ieee.org/document/10756638/},
number = {2},
pages = {571--583},
doi = {10.1109/tnse.2024.3498864}
}
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MLA
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Le, Tuan Vinh, et al. βAn Enhanced Multi-Factor Device Authentication Protocol in IoLT Healthcare Environment.β IEEE Transactions on Network Science and Engineering, vol. 12, no. 2, Mar. 2025, pp. 571-583. https://ieeexplore.ieee.org/document/10756638/.
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