Enhancing multibiometric system security using ECC based on score level fusion

Abstract

Unimodal biometric system has several inherent problems such as large intra-class variation, non-universality, and spoofing attack. And the performance of unimodal is also affected by the condition of user health, weather condition, and type of sensor used. To overcome this limitation, multibiometric is a good option where we can use two or more individual modalities. In this paper, we propose a multibiometric based system to enhance the security using ECC based on score level fusion. This work extract feature from three different modalities, namely, fingerprint, face, and iris. The first level of authentication will be considered as successful if the score generated after the score level fusion of three modalities is above system threshold value. And then the user considers as a genuine user otherwise acts as an imposter. In the second level of authentication, an OTP is generated by the bank server which is sent to the user mobile for making transaction. The generated OTP is not secure in a network as it can be easily guessed or stolen by attackers. So to enhance the security, we use the concept of biometric signature based on elliptic curve cryptography. And finally, users entered OTP in a bank transaction screen for the execution of transaction.