中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
DOI10.1109/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

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