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

• Published in: Sensors (Basel, Switzerland) Vol. 22; no. 19; p. 7609
• Main Authors: Bedari, Aseel, Wang, Song, Yang, Wencheng
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2022; MDPI
• Subjects: 5G network; Access control; Accuracy; Biometrics; Biometry; cancelable fingerprint template; Communication; Costs; Data encryption chips; Data security; fingerprint authentication; Fingerprinting; IIoT; Industrial Internet of Things; Internet of Things; Investment analysis; Liu E; Manufacturing; Network security; Privacy; secure authentication; Wavelet transforms
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s22197609

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.