Non-Invertibility for Random Projection based Biometric Template Protection Scheme

2021 ◽  
Author(s):  
Thi Ai Thao Nguyen ◽  
Tran Khanh Dang ◽  
Dinh Thanh Nguyen
Keyword(s):  
Random Projection ◽  
Protection Scheme ◽  
Biometric Template ◽  
Template Protection ◽  
Biometric Template Protection

Biometric Template Protection Using Spiral Cube: Performance and Security Analysis

2016 ◽  
Vol 25 (01) ◽  
pp. 1550027 ◽  
Author(s):  
Chouaib Moujahdi ◽  
George Bebis ◽  
Sanaa Ghouzali ◽  
Mounia Mikram ◽  
Mohammed Rziza
Keyword(s):  
Chaotic Behavior ◽  
Logistic Map ◽  
Security Analysis ◽  
Personal Data ◽  
Random Projection ◽  
Biometric Template ◽  
Template Protection ◽  
And Performance ◽  
Biometric Templates ◽  
Biometric Template Protection

Personal authentication systems based on biometrics have given rise to new problems and challenges related to the protection of personal data, issues of less concern in traditional authentication systems. The irrevocability of biometric templates makes biometric systems very vulnerable to several attacks. In this paper we present a new approach for biometric template protection. Our objective is to build a non-invertible transformation, based on random projection, which meets the requirements of revocability, diversity, security and performance. In this context, we use the chaotic behavior of logistic map to build the projection vectors using a methodology that makes the construction of the projection matrix depend on the biometric template and its identity. The proposed approach has been evaluated and compared with Biohashing and BioPhasor using a rigorous security analysis. Our extensive experimental results using several databases (e.g., face, finger-knuckle and iris), show that the proposed technique has the ability to preserve and increase the performance of protected systems. Moreover, it is demonstrated that the security of the proposed approach is sufficiently robust to possible attacks keeping an acceptable balance between discrimination, diversity and non-invertibility.

scholarly journals Random Projection-based Cancelable Template Generation for Sparsely Distributed Biometric Patterns

2017 ◽  
Vol 7 (3) ◽  
pp. 877 ◽  
Author(s):  
P. Punithavathi ◽  
S. Geetha
Keyword(s):  
Random Projection ◽  
Discrete Fourier Transformation ◽  
Biometric Template ◽  
Transformation Approach ◽  
Template Protection ◽  
Cancelable Template ◽  
And Performance ◽  
Biometric Information ◽  
And Storage ◽  
Biometric Template Protection

Cancelable biometrics, a template transformation approach, attempts to provide robustness for authentication services based on biometrics. Several biometric template protection techniques represent the biometric information in binary form as it provides benefits in matching and storage. In this context, it becomes clear that often such transformed binary representations can be easily compromised and breached. In this paper, we propose an efficient non-invertible template transformation approach using random projection technique and Discrete Fourier transformation to shield the binary biometric representations. The cancelable fingerprint templates designed by the proposed technique meets the requirements of revocability, diversity, non-invertibility and performance. The matching performance of the cancelable fingerprint templates generated using proposed technique, have improved when compared with the state-of-art methods.

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.

scholarly journals A Hybrid Approach to Protect Palmprint Templates

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Hailun Liu ◽  
Dongmei Sun ◽  
Ke Xiong ◽  
Zhengding Qiu
Keyword(s):  
Large Scale ◽  
Hybrid Approach ◽  
Random Projection ◽  
Personal Privacy ◽  
Fuzzy Vault ◽  
Biometric Template ◽  
Biometric Systems ◽  
Template Protection ◽  
Theoretical Analyses ◽  
Biometric Template Protection

Biometric template protection is indispensable to protect personal privacy in large-scale deployment of biometric systems. Accuracy, changeability, and security are three critical requirements for template protection algorithms. However, existing template protection algorithms cannot satisfy all these requirements well. In this paper, we propose a hybrid approach that combines random projection and fuzzy vault to improve the performances at these three points. Heterogeneous space is designed for combining random projection and fuzzy vault properly in the hybrid scheme. New chaff point generation method is also proposed to enhance the security of the heterogeneous vault. Theoretical analyses of proposed hybrid approach in terms of accuracy, changeability, and security are given in this paper. Palmprint database based experimental results well support the theoretical analyses and demonstrate the effectiveness of proposed hybrid approach.

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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