Title

A linear convolution-based cancelable fingerprint biometric authentication system

Document Type

Journal Article

Publication Title

Computers & Security

Volume

114

Publisher

Elsevier

School

School of Science / ECU Security Research Institute

RAS ID

42861

Funders

Cyber Security Research Centre Limited

Australian Government Cooperative Research Centres (CRC) Program

Comments

Yang, W., Wang, S., Kang, J. J., Johnstone, M. N., & Bedari, A. (2022). A linear convolution-based cancelable fingerprint biometric authentication system. Computers & Security, 114, article 102583.

https://doi.org/10.1016/j.cose.2021.102583

Abstract

Authentication is a critical requirement of many systems, in domains such as law enforcement, financial services and consumer devices. Due to poor user practices, especially regarding passwords, biometric technologies have been presented as a viable solution, and have been constantly evolving to meet this requirement. It is important to consider the security aspects of any proposed biometric authentication system, as threats targeting biometric template data are serious. Given that the original biometric data are not revocable, if compromised, they are lost (or tainted) forever. To prevent biometric template data from being compromised by attackers, we propose a new linear convolution-based cancelable fingerprint authentication system. In the proposed system, instead of using the original feature data themselves as the inputs to the linear convolution function, the second input is replaced by a help vector, which guarantees that errors from one part of the template data do not impact other parts. Moreover, to ensure the safety of the help vector chosen from a help vector pool in the lost-key scenario, a feature-guided index generation algorithm is developed. The experimental results show that the proposed system achieves satisfactory recognition accuracy, while providing strong protection to fingerprint template data.

DOI

10.1016/j.cose.2021.102583

Access Rights

subscription content

Research Themes

Securing Digital Futures

Priority Areas

Secure systems

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