A Secure User Anonymity-Preserving Biometrics and PUFs-Based Multi-Server Authentication Scheme With Key Agreement in 5G Networks

Xu, Deqin; Bian, Weixin; Li, Qingde; Xie, Dong; Zhao, Jun; Hu, Yao

Abstract

The 5G networks can provide high data rates, ultra-low latency and huge network capacity. In 5G networks environment, the popularity of the Internet of Things (IoT) has led to a rapid increase in the amount of data. Multi-server distributed cloud computing technology provides an excellent solution to alleviate network pressure caused by the rapid growth of data. However, this technology serves as a two-edged weapon, which not only makes various IoT applications possible, but also brings growing concerns for user privacy and ever pressing security challenges. To ensure the high security of 5G network-based applications, we design a secure user anonymity-preserving biometrics and PUFs-based multi-server authentication scheme with key agreement. In our method, we make full use of the inherent security features of user fingerprint and smart device PUF to design a secure multi-server authentication scheme with key agreement in 5G Networks. The proposed scheme is able to resist recognized attacks and its robustness has been verified by security analysis.

Citation

Xu, D., Bian, W., Li, Q., Xie, D., Zhao, J., & Hu, Y. (online). A Secure User Anonymity-Preserving Biometrics and PUFs-Based Multi-Server Authentication Scheme With Key Agreement in 5G Networks. IEEE internet of things journal, https://doi.org/10.1109/JIOT.2024.3486005

• Journal Article Type: Article
• Acceptance Date: Oct 18, 2024
• Online Publication Date: Oct 24, 2024
• Deposit Date: Nov 5, 2024
• Publicly Available Date: Nov 8, 2024
• Journal: IEEE Internet of Things Journal
• Print ISSN: 2327-4662
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1109/JIOT.2024.3486005
• Keywords: Multi-server; Mutual authentication; Biometrics; Physically unclonable functions
• Public URL: https://hull-repository.worktribe.com/output/4909324