Enhancing Security in Biometric System Using Blind Authentication Protocol

-Biometric authentication system are used prevalently for its template security, retract ability and privacy. The Authentication process is reinforced by biometric cryptosystem. We propose a demonstrable secure and blind biometric authentication protocol which discloses only identity and not any other information to both client and server. To reduce the computational cost and enhance security we have used ElGamal. It is based on asymmetric encryption in which biometric authentication and security of public key cryptography is enhanced. Authentication protocol works on public network and provides template protection, ability to retract template protection and assuage the concern on privacy. In our approach the authentication in the encrypted domain does not affect the accuracy, while the encryption key bolsters security. Keywords— Data Set, Cryptosystem, Privacy, Public key cryptography, Neural Network.