Biometrics and Bioinformatics

N. V. Brindha ¹, V. S. Meenakshi ²

Affiliations
1 Department of Computer Engineering, Suguna Polytechnic College, IN
2 Department of Computer Applications, Dr.Mahalingam College of Engineering and Technology, IN

Abstract

Biometric based authentication systems are becoming the foundation of an extensive array of highly secure identification and personal verification solutions. Depending upon the implicational usage the biometric features are categorized and taken for authentication. For authentication, Biometric technologies provide best security concern than others, so biometrics is preferred most commonly. But the difficult task is to find the appropriate biometric technique. Unimodal biometric type relies on the evidence of a single source of biometric information for Personal Identification.  But it has a lot of limitations in terms of the security and privacy. Multimodal biometric system is an advance level of a multi-biometric system that may use more than one correlated biometric measurement. They address the problem of non-universality, noisy sensor data, and large intra-user variations and also provide anti-spoofing that are commonly found in unimodal biometric systems. In this paper, we propose a bimodal biometric authentication system based on the features of Palmprint and Fingerprint. The extracted features are fused at feature level to obtain the multibiometric template. Final decision is made by multitemplate matching approach.

Keywords

Palm Print, Multimodal Biometric Systems.

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V. S. Meenakshi ¹, G. Padmavathi ¹

Affiliations
1 Department of Computer Applications, SNR Sons College, Coimbatore-641006, IN

Abstract

Biometric authentication due to its merits compared to traditional authentication methods like password finds its application in several crucial applications like border security, military, network security and forensic applications. However, biometric authentication systems are subjected to several attacks. Providing security to biometric template is an important issue in any biometric authentication system. Different biometric template protection mechanisms are in practice. Anyhow, no single method provides all the required properties of a biometric template. Hybrid template protection mechanisms are better compared to single biometric template protection mechanism. This paper presents a survey of different works that provides hybrid biometric template security.

Keywords

Biometric Template Security, Biometric Template Protection Schemes, Hybrid Approach, Attacks.

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V. S. Meenakshi ¹, G. Padmavathi ²

Affiliations
1 Department of Computer Applications, SNR Sons College, Coimbatore-641006, IN
2 Department of Computer Science, Avinashilingam Deemed University for Women, Coimbatore-641043, IN

Abstract

Security is an important component in any authentication system. Biometric authentication is gaining much importance in the current linked scenario. Anyhow, biometric based authentication systems are subjected to a variety of attacks. Stored biometric template attack is one of the severe attacks. Biometric template plays a vital role in biometric authentication. Therefore, ensuring security to biometric template is a demanding issue in the present times. Fuzzy vault is a crypto biometric frame work that provides security to biometric templates. This paper presents a survey on the different work done on fuzzy vault scheme to protect biometric templates.

Keywords

Biometric Template, Security, Fuzzy Vault, Attacks, Cryptography.

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V. S. Meenakshi ¹, G. Padmavathi ²

Affiliations
1 SNR Sons College, Coimbatore - 6, IN
2 Avinashilingam University for Women, Coimbatore - 43, IN

Abstract

Crypto biometric systems are authentication systems where the concept of biometric authentication is blended with cryptography. Crypto-biometric systems utilize the advantages of biometrics over traditional password based authentication. This paper uses the idea of fuzzy vault cryptographic constructs to protect crucial data like secret encryption key. Fuzzy vault is a proven emerging technology for providing biometric template security. This work constructs two independent fingerprint and iris vaults and a combined multimodal biometric vault. The proposed multimodal biometric fuzzy vault uses the features extracted from both finger print and iris for ensuring high security of the critical data and the biometric template. It is comparatively difficult for an attacker to compromise multi modal biometric fuzzy vault system than single biometric fuzzy vault systems. This work measures the security of the constructed fuzzy vault by means of min-entropy.

Keywords

Biometrics, Multi Biometrics, Fuzzy Vault, Multi Biometric Fuzzy Vault, Biometric Template Security, Min-Entropy, Crypto Biometric Systems.

Full Text

     

V. S. Meenakshi ¹, G. Padmavathi ²

Affiliations
1 SNR Sons College, Coimbatore-6, IN
2 Avinashilingam University for Women, Coimbatore-43, IN

Abstract

Crypto biometric systems are authentication systems where the concept of biometric authentication is blended with cryptography. Crypto-biometric systems utilize the advantages of biometrics over traditional password based authentication. This paper uses the idea of fuzzy vault cryptographic constructs to protect crucial data like secret encryption key. Fuzzy vault is a proven emerging technology for providing biometric template security. This work constructs two independent fingerprint and iris vaults and a combined multimodal biometric vault. The proposed multimodal biometric fuzzy vault uses the features extracted from both finger print and iris for ensuring high security of the critical data and the biometric template. It is comparatively difficult for an attacker to compromise multi modal biometric fuzzy vault system than single biometric fuzzy vault systems. This work measures the security of the constructed fuzzy vault by means of min-entropy.

Keywords

Biometrics, Multi Biometrics, Fuzzy Vault, Multi Biometric Fuzzy Vault, Biometric Template Security, Min-Entropy, Crypto Biometric Systems.

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