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.

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 Attacks on Biometric Systems: An Overview

2015 ◽  
Vol 1 (7) ◽  
pp. 283 ◽  
Author(s):  
Rubal Jain ◽  
Chander Kant
Keyword(s):  
Pattern Recognition ◽  
System Architecture ◽  
Recognition System ◽  
Biometric System ◽  
Knowledge Based ◽  
Biometric Template ◽  
Biometric Systems ◽  
Template Protection ◽  
Authentication System ◽  
Biometric Template Protection

Biometrics is a pattern recognition system that refers to the use of different physiological (face, fingerprints, etc.) and behavioral (voice, gait etc.) traits for identification and verification purposes. A biometrics-based personal authentication system has numerous advantages over traditional systems such as token-based (e.g., ID cards) or knowledge-based (e.g., password) but they are at the risk of attacks. This paper presents a literature review of attack system architecture and makes progress towards various attack points in biometric system. These attacks may compromise the template resulting in reducing the security of the system and motivates to study existing biometric template protection techniques to resist these attacks.

Securing Stored Biometric Template Using Cryptographic Algorithm

2018 ◽  
Vol 5 (4) ◽  
pp. 48-60
Author(s):  
Manmohan Lakhera ◽  
Manmohan Singh Rauthan
Keyword(s):  
Aes Algorithm ◽  
Cryptographic Algorithm ◽  
Biometric Template ◽  
Long Time ◽  
Template Protection ◽  
Symmetric Key ◽  
Authentication System ◽  
Brute Force Attack ◽  
Biometric Templates ◽  
Biometric Template Protection

The biometric template protection technique provides the security in many authentication applications. Authentication based on biometrics has more advantages over traditional methods such as password and token-based authentication methods. The advantage of any biometric-based authentication system over a traditional one is that the person must physically be present at that place while recognizing him. So, it is essential to secure these biometrics by combining these with cryptography. In the proposed algorithm, the AES algorithm is used for securing the stored and transmitted biometric templates using helping data. The helping data is a variable type of data which is changed at every attempt for registration. The final symmetric key AES algorithm is a combination of helping data and actual symmetric keys of the AES algorithm. The experimental analysis shows that a brute force attack takes a long time to recover the original biometric template from cipher biometric template. So, the proposed technique provides sufficient security to stored biometric templates.

scholarly journals Hand-based multibiometric systems: state-of-the-art and future challenges

2021 ◽  
Vol 7 ◽  
pp. e707
Author(s):  
Anum Aftab ◽  
Farrukh Aslam Khan ◽  
Muhammad Khurram Khan ◽  
Haider Abbas ◽  
Waseem Iqbal ◽  
...  
Keyword(s):  
Performance Measures ◽  
State Of The Art ◽  
Personal Identification ◽  
Cancelable Biometrics ◽  
Future Directions ◽  
Biometric Systems ◽  
Future Challenges ◽  
Template Protection ◽  
Identification Tags ◽  
Open Issues

The traditional methods used for the identification of individuals such as personal identification numbers (PINs), identification tags, etc., are vulnerable as they are easily compromised by the hackers. In this paper, we aim to focus on the existing multibiometric systems that use hand based modalities for the identification of individuals. We cover the existing multibiometric systems in the context of various feature extraction schemes, along with an analysis of their performance using one of the performance measures used for biometric systems. Later, we cover the literature on template protection including various cancelable biometrics and biometric cryptosystems and provide a brief comment about the methods used for multibiometric template protection. Finally, we discuss various open issues and challenges faced by researchers and propose some future directions that can enhance the security of multibiometric templates.

Approach for Protection of Iris Template using Cancelable Biometrics

2019 ◽  
Vol 9 (1) ◽  
pp. 144-152
Author(s):  
Sheetal Chaudhary ◽  
Rajender Nath ◽  
Chander Kant ◽  
Surya Kant
Keyword(s):  
Recognition Performance ◽  
Security And Privacy ◽  
Biometric Authentication ◽  
Cancelable Biometrics ◽  
Biometric Template ◽  
Template Protection ◽  
Biometric Templates

Background and Objective: The most important issue concerning the security of biometric authentication systems is protection of biometric templates. This is because once the biometric template being attacked, it cannot be canceled and reissued. Thus, the intruder could avail the facilities that are meant only for the genuine user just bypassing the enrollment phase. Methods: To protect the biometric templates from attacks, it is advantageous to modify them before storing in the databases through some cancelable and non-invertible transformations. Hence, an approach based on cancelable biometrics is proposed in this paper for providing security and privacy to biometric templates. It uses left iris and right iris as input biometric traits. Different experiments are carried out to authenticate the proposed approach. Results and Conclusion: It satisfies all template protection requirements and expected to show good recognition performance without degrading it.

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.

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