A Novel Length-Flexible Lightweight Cancelable Fingerprint Template for Privacy-Preserving Authentication Systems in Resource-Constrained IoT Applications
Xuefei Yin, Song Wang, Yanming Zhu, Jiankun Hu

TL;DR
This paper introduces a new length-flexible, lightweight cancelable fingerprint template that enhances privacy and efficiency for resource-constrained IoT devices, maintaining high authentication accuracy while reducing storage and computational costs.
Contribution
It presents the first length-flexible, lightweight cancelable fingerprint template design specifically tailored for privacy-preserving IoT authentication in resource-limited environments.
Findings
Achieves comparable authentication performance to state-of-the-art methods.
Reduces template storage space and computational cost significantly.
Compatible with various smart card devices.
Abstract
Fingerprint authentication techniques have been employed in various Internet of Things (IoT) applications for access control to protect private data, but raw fingerprint template leakage in unprotected IoT applications may render the authentication system insecure. Cancelable fingerprint templates can effectively prevent privacy breaches and provide strong protection to the original templates. However, to suit resource-constrained IoT devices, oversimplified templates would compromise authentication performance significantly. In addition, the length of existing cancelable fingerprint templates is usually fixed, making them difficult to be deployed in various memory-limited IoT devices. To address these issues, we propose a novel length-flexible lightweight cancelable fingerprint template for privacy-preserving authentication systems in various resource-constrained IoT applications. The…
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