A review on performance,security and various biometric template protection schemes for biometric authentication systems

2020 ◽  
Vol 79 (37-38) ◽  
pp. 27721-27776
Author(s):  
Arpita Sarkar ◽  
Binod K. Singh
Keyword(s):  
Biometric Authentication ◽  
Biometric Template ◽  
Template Protection ◽  
Biometric Template Protection

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 Accomplishment of New Protocol for Stupendous Security in Cloud Environment

2019 ◽  
Vol 9 (1) ◽  
pp. 2616-2619
Keyword(s):  
Biometric Authentication ◽  
Cloud Environment ◽  
Identity Verification ◽  
Hybrid Clouds ◽  
Biometric Template ◽  
Biometric Encryption ◽  
Authentication And Authorization ◽  
Template Protection ◽  
Encryption Algorithms ◽  
Biometric Template Protection

Cloud is that the rising and thirst area of analysis and advantageous in all the fields. However security is the main disquiet for not espouse cloud for each application. Mainly of the security crisis are connected by authentication with data protection by the respect to cloud security alliance (CSA). The projected New (Biometric encoding and Biometric authentication) protocol can conquer every safety crisis in cloud adjacent. In NEW protocol biometric encryption has been provided for the cloud consumer’s valuable information and identity verification has been utilized in a unique way to scale back the problems associated with authentication and authorization. In NEW protocol Identity verification in cloud environment has been joint by pattern security in coincidence with four entirely dissimilar and influential encryption algorithms for accumulated safety. This protocol improves biometric template protection by the combination of RSA and AES encryption algorithms in proper locations and 3DES, Blowfish has been utilized in information security and solution safety supervision. By implementing such technique can vanish out the un trustiness of adopting cloud, specifically public and hybrid clouds. Since all the users information are hold on in off premise. Adopting this protocol has given nice results when examining with existing work and all the vulnerable places has been considered for improved security.

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.

Sign in / Sign up

Export Citation Format

Share Document