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

作　　者：Shahriar Md Arman Tao Yang Shahadat Shahed Alanoud AlMazroa Afraa Attiah Linda Mohaisen 

机构地区：[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

出　　处：《Computers, Materials & Continua》2024年第2期2087-2110,共24页计算机、材料和连续体（英文）

基　　金：The research is supported by Nature Science Foundation of Zhejiang Province(LQ20F020008);“Pioneer”and“Leading Goose”R&D Program of Zhejiang(Grant Nos.2023C03203,2023C01150).

摘　　要：The rapid growth of smart technologies and services has intensified the challenges surrounding identity authenti-cation 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.

关 键 词：Biometric modalities biometric recognition biometric security PRIVACY-PRESERVING security threats 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]