A Review of Homomorphic Encryption for Privacy-Preserving Biometrics
Author:
Yang Wencheng1ORCID, Wang Song2ORCID, Cui Hui3, Tang Zhaohui1, Li Yan1
Affiliation:
1. School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, QLD 4350, Australia 2. School of Computing, Engineering and Mathematical Sciences, La Trobe University, Bundoora, VIC 3086, Australia 3. Faculty of IT, Claytyon Campus, Monash University, Clayton, VIC 3800, Australia
Abstract
The advancement of biometric technology has facilitated wide applications of biometrics in law enforcement, border control, healthcare and financial identification and verification. Given the peculiarity of biometric features (e.g., unchangeability, permanence and uniqueness), the security of biometric data is a key area of research. Security and privacy are vital to enacting integrity, reliability and availability in biometric-related applications. Homomorphic encryption (HE) is concerned with data manipulation in the cryptographic domain, thus addressing the security and privacy issues faced by biometrics. This survey provides a comprehensive review of state-of-the-art HE research in the context of biometrics. Detailed analyses and discussions are conducted on various HE approaches to biometric security according to the categories of different biometric traits. Moreover, this review presents the perspective of integrating HE with other emerging technologies (e.g., machine/deep learning and blockchain) for biometric security. Finally, based on the latest development of HE in biometrics, challenges and future research directions are put forward.
Funder
UniSQ Capacity Building Grants
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference103 articles.
1. Yang, W., Wang, S., Hu, J., Zheng, G., and Valli, C. (2019). Security and Accuracy of Fingerprint-based Biometrics: A Review. Symmetry, 11. 2. Yang, W., Wang, S., Sahri, N.M., Karie, N.M., Ahmed, M., and Valli, C. (2021). Biometrics for Internet-of-Things Security: A Review. Sensors, 21. 3. A cancelable biometric authentication system based on feature-adaptive random projection;Yang;J. Inf. Secur. Appl.,2021 4. Evaluation of PCA and LDA techniques for Face recognition using ORL face database;Saraswathi;Int. J. Comput. Sci. Inf. Technol.,2015 5. FVC2002: Second fingerprint verification competition;Maio;Proceedings of the 2002 International Conference on Pattern Recognition,2002
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