Analysis of multimodal biometric fusion based authentication techniques for network security

Abstract

Multibiometrics is the usage of more than one physiological or behavioral characteristic to identify an individual. Multibiometrics is advantageous over unibiometrics as it is resilience to spoofing and has low False Acceptance Rate (FAR). However Multibiometrics requires storage of multiple biometric templates for each user, which results in increased risk to user privacy and system security. This paper will discuss the concept off biometrics and biometric system, multimodal biometric fusion techniques, crypto-biometrics and an algorithm for session key generation for secure communication of data.