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A Comprehensive Survey for Privacy-Preserving Biometrics: Recent Approaches, Challenges, and Future Directions

Shahriar Md Arman1, Tao Yang1,*, Shahadat Shahed2, Alanoud Al Mazroa3, Afraa Attiah4, Linda Mohaisen4

1 School of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou, 310018, China
2 School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, China
3 College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 84428, Saudi Arabia
4 Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, 21589, Saudi Arabia

* Corresponding Author: Tao Yang. Email: email

(This article belongs to this Special Issue: Multimedia Encryption and Information Security)

Computers, Materials & Continua 2024, 78(2), 2087-2110.


The rapid growth of smart technologies and services has intensified the challenges surrounding identity authentication techniques. Biometric credentials are increasingly being used for verification due to their advantages over traditional methods, making it crucial to safeguard the privacy of people’s biometric data in various scenarios. This paper offers an in-depth exploration for privacy-preserving techniques and potential threats to biometric systems. It proposes a noble and thorough taxonomy survey for privacy-preserving techniques, as well as a systematic framework for categorizing the field’s existing literature. We review the state-of-the-art methods and address their advantages and limitations in the context of various biometric modalities, such as face, fingerprint, and eye detection. The survey encompasses various categories of privacy-preserving mechanisms and examines the trade-offs between security, privacy, and recognition performance, as well as the issues and future research directions. It aims to provide researchers, professionals, and decision-makers with a thorough understanding of the existing privacy-preserving solutions in biometric recognition systems and serves as the foundation of the development of more secure and privacy-preserving biometric technologies.


Cite This Article

S. M. Arman, T. Yang, S. Shahed, A. A. Mazroa, A. Attiah et al., "A comprehensive survey for privacy-preserving biometrics: recent approaches, challenges, and future directions," Computers, Materials & Continua, vol. 78, no.2, pp. 2087–2110, 2024.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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