Biometric Template Protection Scheme-Cancelable Biometrics

2019 ◽  
pp. 405-411 ◽  
Author(s):  
Vinit Kumar Gunjan ◽  
Puja S. Prasad ◽  
Saurabh Mukherjee
Keyword(s):  
Cancelable Biometrics ◽  
Protection Scheme ◽  
Biometric Template ◽  
Template Protection ◽  
Biometric Template Protection

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.

scholarly journals A Survey on Biometrics and Cancelable Biometrics Systems

2018 ◽  
Vol 18 (01) ◽  
pp. 1850006 ◽  
Author(s):  
Bismita Choudhury ◽  
Patrick Then ◽  
Biju Issac ◽  
Valliappan Raman ◽  
Manas Kumar Haldar
Keyword(s):  
Security Level ◽  
Cancelable Biometrics ◽  
Discrete Cosine Transformation ◽  
Protection Scheme ◽  
Biometric Template ◽  
Biometric Systems ◽  
Distorted Version ◽  
Template Protection ◽  
Authentication System ◽  
Domain Transformation

Now-a-days, biometric systems have replaced the password or token based authentication system in many fields to improve the security level. However, biometric system is also vulnerable to security threats. Unlike password based system, biometric templates cannot be replaced if lost or compromised. To deal with the issue of the compromised biometric template, template protection schemes evolved to make it possible to replace the biometric template. Cancelable biometric is such a template protection scheme that replaces a biometric template when the stored template is stolen or lost. It is a feature domain transformation where a distorted version of a biometric template is generated and matched in the transformed domain. This paper presents a review on the state-of-the-art and analysis of different existing methods of biometric based authentication system and cancelable biometric systems along with an elaborate focus on cancelable biometrics in order to show its advantages over the standard biometric systems through some generalized standards and guidelines acquired from the literature. We also proposed a highly secure method for cancelable biometrics using a non-invertible function based on Discrete Cosine Transformation (DCT) and Huffman encoding. We tested and evaluated the proposed novel method for 50 users and achieved good results.

A Review on Different Biometric Template Protection Methods

2019 ◽  
Vol 12 ◽  
Author(s):  
Arpita Sarkar ◽  
Binod K. Singh
Keyword(s):  
Identity Management ◽  
Automatic Identification ◽  
Biometric Authentication ◽  
Protection Scheme ◽  
Biometric Template ◽  
Template Protection ◽  
Identity Management System ◽  
Identification Of Persons ◽  
Biometric Information ◽  
Biometric Template Protection

: Biometrics is a universally used automatic identification of persons, depending on their behavioural and biological quality. Biometric authentication plays a crucial role in the identity management system. Safety of biometric authentication systems needs to be addressed as there are still some points related to the integrity and public receiving of biometric systems. Feature extraction module of biometric authentication systems, during the season of enrolment scanned biometric information to extract the set of salient features. This set of unique feature is known as biometric template. This biometric template is helpful in distinguishing between different users. These templates are generally stored during the time of enrolment in a database indexed by the user's identity information. The biometric template protection is an important issue because the compromised template cannot be cancelled and reissued like a password or token. Template protection is a challenging task because of intra user variability present in the acquired biometric traits. This paper surveys about different existing approaches for designing a protection scheme for biometric templates with their strength and boundaries existing in the literature. Some prospect information in designing template protection schemes are also addressed in this paper.

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.

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