Cancelable biometric schemes for Euclidean metric and Cosine metric

Cybersecurity

Research

Xiaojie Zhu¹  Di Jiang²  Peisong Shen²  Li Zeng³  Yubing Jiang³  Chi Chen³ 

[1] College of Engineering, Abu Dhabi University, Abu Dhabi, United Arab Emirates;State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China;State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China;School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China;

关键词: Biometric template protection;    Distance-preserving hashing;    Many-to-one mapping;   

DOI  :  10.1186/s42400-023-00137-0

 received in 2022-10-03, accepted in 2022-12-30,  发布年份 2022

来源: Springer

【 摘 要 】

The handy biometric data is a double-edged sword, paving the way of the prosperity of biometric authentication systems but bringing the personal privacy concern. To alleviate the concern, various biometric template protection schemes are proposed to protect the biometric template from information leakage. The preponderance of existing proposals is based on Hamming metric, which ignores the fact that predominantly deployed biometric recognition systems (e.g. face, voice, gait) generate real-valued templates, more applicable to Euclidean metric and Cosine metric. Moreover, since the emergence of similarity-based attacks, those schemes are not secure under a stolen-token setting. In this paper, we propose a succinct biometric template protection scheme to address such a challenge. The proposed scheme is designed for Euclidean metric and Cosine metric instead of Hamming distance. Mainly, the succinct biometric template protection scheme consists of distance-preserving, one-way, and obfuscation modules. To be specific, we adopt location sensitive hash function to realize the distance-preserving and one-way properties simultaneously and use the modulo operation to implement many-to-one mapping. We also thoroughly analyze the proposed scheme in three aspects: irreversibility, unlinkability and revocability. Moreover, comprehensive experiments are conducted on publicly known face databases. All the results show the effectiveness of the proposed scheme.

【 授权许可】

CC BY   
© The Author(s) 2023

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