A Secure Online Fingerprint Authentication System for Industrial IoT Devices over 5G Networks

Article


Bedari, Aseel, Wang, Song and Yang, Wencheng. 2022. "A Secure Online Fingerprint Authentication System for Industrial IoT Devices over 5G Networks." Sensors. 22 (19), pp. 1-16. https://doi.org/10.3390/s22197609
Article Title

A Secure Online Fingerprint Authentication System for Industrial IoT Devices over 5G Networks

ERA Journal ID34304
Article CategoryArticle
AuthorsBedari, Aseel (Author), Wang, Song (Author) and Yang, Wencheng (Author)
Journal TitleSensors
Journal Citation22 (19), pp. 1-16
Article Number7609
Number of Pages16
Year2022
PublisherMDPI AG
Place of PublicationSwitzerland
ISSN1424-8220
1424-8239
Digital Object Identifier (DOI)https://doi.org/10.3390/s22197609
Web Address (URL)https://www.mdpi.com/1424-8220/22/19/7609
Abstract

The development of 5G networks has rapidly increased the use of Industrial Internet of Things (IIoT) devices for control, monitoring, and processing purposes. Biometric-based user authentication can prevent unauthorized access to IIoT devices, thereby safeguarding data security during production. However, most biometric authentication systems in the IIoT have no template protection, thus risking raw biometric data stored as templates in central databases or IIoT devices. Moreover, traditional biometric authentication faces slow, limited database holding capacity and data transmission problems. To address these issues, in this paper we propose a secure online fingerprint authentication system for IIoT devices over 5G networks. The core of the proposed system is the design of a cancelable fingerprint template, which protects original minutia features and provides privacy and security guarantee for both entity users and the message content transmitted between IIoT devices and the cloud server via 5G networks. Compared with state-of-the-art methods, the proposed authentication system shows competitive performance on six public fingerprint databases, while saving computational costs and achieving fast online matching.

Keywords5G network; cancelable fingerprint template; fingerprint authentication; IIoT; secure authentication
ANZSRC Field of Research 2020460403. Data security and protection
Byline AffiliationsLa Trobe University
School of Mathematics, Physics and Computing
Institution of OriginUniversity of Southern Queensland
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