A Safe and Reliable Digital Fingerprint Recognition Method for Internet of Things (IoT) Devices

Abstract

The proliferation of IIoT devices for control, monitoring, and processing has been spurred by the advent of 5G networks. With biometric-based user identification, IIoT devices may be protected against unwanted access, keeping production data secure. However, most IIoT biometric authentication solutions do not safeguard template data, putting at risk sensitive biometric information kept as models in centralized dataset. Furthermore, conventional biometric verification is hampered by issues with speed, database storage space, and data transfer. In order to solve these problems, we offer a safe E-fingerprint verification solution using 5G networks. The suggested method centers on the creation of a nullifying fingerprint model, which safeguards the real granular details while also guaranteeing the privacy and security of clients and the content of messages sent among devices and the server across the networks. On three public fingerprint dataset, the suggested authentication model achieves comparable performance while minimizing computational costs and providing quick online matching compared to traditional approaches.