Authentication and remote validation is a challenging task, the process of authentication via finger vein values is a challenging task for IoT values customization. In this paper, we have developed an improvised Attribute Based Recommendation (ABR) technique for extracting the finger vein attributes and processing via IoT administrator gateway for processing and mapping the key attributes of dynamically collected finger veins. Based on the recommendation, the attributes correlation is extracted and key value pattern is generated with synchronization from user backend via secure channel. The end user further extracts the attribute key values and encodes the authentication from access via remote authentication. The proposed technique has secured an accuracy of 97% under open channel IoT authentication and 94% in a closed channel communication.
M. Azrour, J. Mabrouki, A. Guezzaz, and Y. Farhaoui, “New enhanced authentication protocol for Internet of Things,” Big Data Mining and Analytics, vol. 4, no. 1, pp. 1–9, Mar. 2021, doi: 10.26599/bdma.2020.9020010.
P. Porambage, C. Schmitt, P. Kumar, A. Gurtov, and M. Ylianttila, “Two-phase authentication protocol for wireless sensor networks in distributed IoT applications,” 2014 IEEE Wireless Communications and Networking Conference (WCNC), pp. 2728–2733, Apr. 2014, doi: 10.1109/wcnc.2014.6952860.
M. A. Ferrag, L. A. Maglaras, H. Janicke, J. Jiang, and L. Shu, “Authentication Protocols for Internet of Things: A Comprehensive Survey,” Security and Communication Networks, vol. 2017, pp. 1–41, 2017, doi: 10.1155/2017/6562953.
A. K. Agrahari, S. Varma, and S. Venkatesan, “Two factor authentication protocol for IoT based healthcare monitoring system,” Journal of Ambient Intelligence and Humanized Computing, vol. 14, no. 12, pp. 16081–16098, Apr. 2022, doi: 10.1007/s12652-022-03834-9.
M. A. Mobarhan and M. Salamah, “REPS-AKA5: A robust group-based authentication protocol for IoT applications in LTE system,” Internet of Things, vol. 22, p. 100700, Jul. 2023, doi: 10.1016/j.iot.2023.100700.
R. Vinoth and L. J. Deborah, “An efficient key agreement and authentication protocol for secure communication in industrial IoT applications,” Journal of Ambient Intelligence and Humanized Computing, vol. 14, no. 3, pp. 1431–1443, Apr. 2021, doi: 10.1007/s12652-021-03167-z.
K. Alhusayni, R. Wazirali, M. AlAkhras, M. Almasri, and S. Alhazmi, “A Multi-Stage Secure IoT Authentication Protocol,” Computer Systems Science and Engineering, vol. 45, no. 1, pp. 459–481, 2023, doi: 10.32604/csse.2023.028536.
Z. Chen et al., “FSMFA: Efficient firmware-secure multi-factor authentication protocol for IoT devices,” Internet of Things, vol. 21, p. 100685, Apr. 2023, doi: 10.1016/j.iot.2023.100685.
X. Li, S. Liu, S. Kumari, and C.-M. Chen, “PSAP-WSN: A Provably Secure Authentication Protocol for 5G-Based Wireless Sensor Networks,” Computer Modeling in Engineering & Sciences, vol. 135, no. 1, pp. 711–732, 2023, doi: 10.32604/cmes.2022.022667.
Z. A.-A. Mohammad Fneish, M. El-Hajj, and K. Samrouth, “Survey on IoT Multi-Factor Authentication Protocols: A Systematic Literature Review,” 2023 11th International Symposium on Digital Forensics and Security (ISDFS), pp. 1–7, May 2023, doi: 10.1109/isdfs58141.2023.10131870.
H. Yang, P. Fang, and Z. Hao, “A GAN-based Method for Generating Finger Vein Dataset,” 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence, pp. 1–6, Dec. 2020, doi: 10.1145/3446132.3446150.
CRediT Author Statement
The authors confirm contribution to the paper as follows:
Conceptualization: Sujani G and Sreerama Reddy GM;
Methodology: Sujani G;
Writing- Original Draft Preparation: Sreerama Reddy GM;
Visualization: Sujani G;
Investigation: Sujani G and Sreerama Reddy GM;
Supervision: Sreerama Reddy GM;
Validation: Sujani G;
Writing- Reviewing and Editing: Sujani G and Sreerama Reddy GM; All authors reviewed the results and approved the final version of the manuscript.
Acknowledgements
Author(s) thanks to Dr. Sreerama Reddy GM for this research completion and support.
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Corresponding author
Sujani G
Department of Electronics and Communication Engineering, C Byre Gowda Institute of Technology, Kolar, VTU, Bengaluru, Karnataka, India.
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Cite this article
Sujani G and Sreerama Reddy GM, “An Improvised Finger Vein Patterns Attribute Based Recommendation Technique for Remote Authentication Using Key Value Distribution”, Journal of Machine and Computing, vol.5, no.4, pp. 2150-2159, October 2025, doi: 10.53759/7669/jmc202505166.
