scholarly journals Secure biometric template protection in fuzzy commitment scheme

2007 ◽  
Vol 4 (23) ◽  
pp. 724-730 ◽  
Author(s):  
Andrew Beng Jin Teoh ◽  
Jaihie Kim
Keyword(s):  
Commitment Scheme ◽  
Biometric Template ◽  
Template Protection ◽  
Fuzzy Commitment Scheme ◽  
Biometric Template Protection

Cancelable Fingerprint Cryptosystem Using Multiple Spiral Curves and Fuzzy Commitment Scheme

2017 ◽  
Vol 31 (04) ◽  
pp. 1756004 ◽  
Author(s):  
Mulagala Sandhya ◽  
Munaga V. N. K. Prasad
Keyword(s):  
Critical Issue ◽  
Experimental Results ◽  
Cancelable Biometrics ◽  
Commitment Scheme ◽  
Biometric Template ◽  
Template Protection ◽  
Fuzzy Commitment Scheme ◽  
Conventional Systems ◽  
Biometric Template Protection ◽  
Biometric Based Authentication

The increased use of biometric-based authentication systems in a variety of applications has made biometric template protection an important issue. Unlike conventional systems, biometric cannot be revoked or changed. This made template protection a critical issue to be considered in the recent years. This paper proposes a cancelable fingerprint cryptosystem using multiple spiral curves and fuzzy commitment scheme. The method is built by combining cancelable biometrics and biometric cryptosystems. First, we compute transformed minutiae features using multiple spiral curves. Further, these transformed features are encrypted using fuzzy commitment scheme. Hence, a secure template is obtained. Experimental results and analysis prove the credibility of proposed method with recently presented methods of fingerprint template protection.

scholarly journals Palmprint Based Multidimensional Fuzzy Vault Scheme

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Hailun Liu ◽  
Dongmei Sun ◽  
Ke Xiong ◽  
Zhengding Qiu
Keyword(s):  
Error Correcting Code ◽  
Experimental Results ◽  
Fuzzy Vault ◽  
Biometric Template ◽  
Template Protection ◽  
Biometric Template Protection

Fuzzy vault scheme (FVS) is one of the most popular biometric cryptosystems for biometric template protection. However, error correcting code (ECC) proposed in FVS is not appropriate to deal with real-valued biometric intraclass variances. In this paper, we propose a multidimensional fuzzy vault scheme (MDFVS) in which a general subspace error-tolerant mechanism is designed and embedded into FVS to handle intraclass variances. Palmprint is one of the most important biometrics; to protect palmprint templates; a palmprint based MDFVS implementation is also presented. Experimental results show that the proposed scheme not only can deal with intraclass variances effectively but also could maintain the accuracy and meanwhile enhance security.

Significance of the Transition to Biometric Template Protection: Explore the Future

2020 ◽  
pp. 2150025
Author(s):  
Ayesha S. Shaikh ◽  
Vibha D. Patel
Keyword(s):  
Privacy Preserving ◽  
Handheld Devices ◽  
Cancelable Biometrics ◽  
Discrete Cosine Transformation ◽  
Biometric Template ◽  
Template Protection ◽  
Novel Method ◽  
Identity Based ◽  
The Government ◽  
Biometric Template Protection

The IT security paradigm evolves from secret-based to biometric identity-based. Biometric identification has gradually become more popular in recent years for handheld devices. Privacy-preserving is a key concern when biometrics is used in authentication systems in the present world today. Nowadays, the declaration of biometric traits has been imposed not only by the government but also by many private entities. There are no proper mechanisms and assurance that biometric traits will be kept safe by such entities. The encryption of biometric traits to avoid privacy attacks is a giant problem. Hence, state-of-the-art safety and security technological solutions must be devised to prevent the loss and misuse of such biometric traits. In this paper, we have identified different cancelable biometrics methods with the possible attacks on the biometric traits and directions on possible countermeasures in order to design a secure and privacy-preserving biometric authentication system. We also proposed a highly secure method for cancelable biometrics using a non-invertible function based on Discrete Cosine Transformation and Index of max hashing. We tested and evaluated the proposed novel method on a standard dataset and achieved good results.

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