A novel public key encryption model based on transformed biometrics

Abstract

In the fuzzy identity-based encryption scheme, a trusted KGC (key generation center) is needed to generate the corresponding private key corresponding to the user's biometric public key. In order to deal with the decentralization problem and the verification problem of the users identity, we propose a public key encryption model based on transformed biometrics. In this model, the user uses the transformed biometrics as his public key and his inherent real biometrics as his private key. In order to protect the user's biometrics information from being leaked, we take some appropriate security measures such as biometric template protection technology and irreversible random conversion technology. These operations are performed locally by the user, and once the public key is generated, the random transformation matrix is deleted or destroyed. The user connects the device serial number in parallel with the modulus N as the input value of the SHA-256 function and uses the output message digest as the public information. The user uses the inner product encryption to complete the encryption process. In this model, the security parameter and the private keys do not require any trusted organization for their generation, and these sensitive information does not need to be transmitted over a public network. The communication parties do not need to know the public key information of the other party in advance. When the user needs to transmit the secret message, the user can query the corresponding public key and related information. We have effectively linked the biological identities with the digital identities. Our thorough analysis shows that the proposed encryption model is both secure and efficient for an encryption algorithm.