The fifth-generation (5G) networks can provide high data rates, ultralow 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. Multiserver 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 multiserver 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 multiserver 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.

This article discusses the application of wireless sensor networks (WSNs) in industrial settings, particularly in the context of the Internet of Things. The advantages of WSNs, such as convenience, low energy consumption, and real-time monitoring, make them highly suitable for industrial applications. However, these networks face several challenges, including signal interference, security concerns, privacy issues, and battery life. This article explores these challenges and proposes potential solutions. Current industrial wireless sensor protocols often prioritize lightweight or real-time aspects, potentially neglecting security considerations. This article proposes a strategy for protecting user biometrics during authentication using cancelable biometrics. The approach utilizes sliding window hashing, fuzzy extractors, and physical unclonable functions to generate a cancelable biometric template. The proposed industrial wireless sensor protocols will be used in this strategy. This protocol aims to safeguard users' biometric information in the event of a data breach while detecting and preventing potential attacks on the sensors.

With the current development and popularization of biometrics recognition technology, our biometrics and other identity information may be illegal bulk scalping, and there is the possibility of being used for false enrolment, network fraud and other illegal criminal activities. Although some network platforms based on biometrics recognition adopt multi-identity authentication, network hacking technology is also improving constantly. Therefore, we must not ignore the importance of biometrics data protection. To this end, we propose a complete user authentication protocol and key agreement scheme based on cancelable biometrics and physical unclonable function (PUF). Firstly, cancelable biometrics are generated by efficient biometrics fusion processing which called “PUF-TTM” (Template Transformation Method) using a PUF embedded into the device. Then based on Biometrics-as-a-Service (BaaS) model and secret sharing technology, a complete authentication protocol in multi-server environment is designed, and the robustness, effectiveness and security of our proposed scheme are ensured from the perspective of performance and security analysis.