Indexing-Min-Max Hashing: Relaxing the Security-Performance Tradeoff for Cancelable Fingerprint Templates
文献类型:期刊论文
作者 | Li, Yuxing2; Pang, Liaojun2; Zhao, Heng2; Cao, Zhicheng2; Liu, Eryun3; Tian, Jie1,4![]() |
刊名 | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
![]() |
出版日期 | 2022-01-28 |
页码 | 12 |
关键词 | Biometrics (access control) Transforms Cryptography Privacy Hash functions Feature extraction Life sciences Biometrics template protection cancelable fingerprint template fixed-length fingerprint representation Indexing-Min-Max (IMM) hashing security-performance tradeoff |
ISSN号 | 2168-2216 |
DOI | 10.1109/TSMC.2022.3144854 |
通讯作者 | Pang, Liaojun(liaojun.pang@wayne.edu) |
英文摘要 | Cancelable biometrics is a powerful remedy for information leakage caused by the extensive usage of unprotected biometric data. Current measures usually suffer from deteriorated accuracy, which is known as the security-performance tradeoff. Motivated by these concerns, in this article, a novel cancelable fingerprint approach, i.e., Indexing-Min-Max (IMM) hashing, is proposed to securely transform a fixed-length fingerprint feature vector to a discrete index hashed code. IMM hashing is essentially established upon the min-max hash and further strengthened by the integration of the partial Hadamard transform, which alleviates performance deterioration while maintaining a high security level. Extensive experiments on FVC2002 and FVC2004 fingerprint datasets coupled with comprehensive theoretical analyses demonstrate the favorable accuracy and strong anti-attack resilience of the proposed method. Besides, compared to the unprotected counterpart, the matching precision of the protected templates yields little accuracy loss or even improved performance, which means the security-performance tradeoff is well handled. Furthermore, IMM hashing also meets the unlinkability and revocability requisites of cancelable biometrics. |
WOS关键词 | GENERATION ; BIOMETRICS ; RECONSTRUCTION ; FRAMEWORK ; DESIGN ; CODE |
资助项目 | National Natural Science Foundation of China[61876139] ; National Natural Science Foundation of China[61906149] ; National Natural Science Foundation of China[U1709214] ; National Cryptography Development Fund[MMJJ20170208] ; Natural Science Basic Research Plan in Shaanxi Province of China[2019JM-129] ; Natural Science Basic Research Plan in Shaanxi Province of China[2021JM-136] ; Zhejiang Provincial Natural Science Foundation of China[GF20F010018] ; Fundamental Research Funds for the Central Universities |
WOS研究方向 | Automation & Control Systems ; Computer Science |
语种 | 英语 |
WOS记录号 | WOS:000751494600001 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
资助机构 | National Natural Science Foundation of China ; National Cryptography Development Fund ; Natural Science Basic Research Plan in Shaanxi Province of China ; Zhejiang Provincial Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities |
源URL | [http://ir.ia.ac.cn/handle/173211/47379] ![]() |
专题 | 自动化研究所_中国科学院分子影像重点实验室 |
通讯作者 | Pang, Liaojun |
作者单位 | 1.Xidian Univ, Sch Life Sci & Technol, Xian 710071, Peoples R China 2.Xidian Univ, Sch Life Sci & Technol, Xian Key Lab Intelligent Sensing & Regulat Transs, Xian 710071, Peoples R China 3.Zhejiang Univ, Coll Informat Sci & Elect Engn, Zhejiang Prov Key Lab Informat Network Technol, Hangzhou 310027, Peoples R China 4.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Yuxing,Pang, Liaojun,Zhao, Heng,et al. Indexing-Min-Max Hashing: Relaxing the Security-Performance Tradeoff for Cancelable Fingerprint Templates[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2022:12. |
APA | Li, Yuxing,Pang, Liaojun,Zhao, Heng,Cao, Zhicheng,Liu, Eryun,&Tian, Jie.(2022).Indexing-Min-Max Hashing: Relaxing the Security-Performance Tradeoff for Cancelable Fingerprint Templates.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,12. |
MLA | Li, Yuxing,et al."Indexing-Min-Max Hashing: Relaxing the Security-Performance Tradeoff for Cancelable Fingerprint Templates".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2022):12. |
入库方式: OAI收割
来源:自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。