Fuzzy identity-based identification (FIBI) scheme is a recently proposed cryptographic identification protocol. The scheme utilizes user biometric trait as public keys. The authentication is deemed success in the presence of the genuine query biometric together with the valid private key. Because of the fuzziness nature of biometrics, FIBI does not correct the errors on the query biometric with respect to the public key; instead, it tolerates the errors using Lagrange polynomial interpolation. Therefore, FIBI requires the biometric trait to be represented in a discrete (binary or integer) array that is fixed in length. In this paper, we report the first realization of FIBI scheme by means of fingerprint biometrics using minutia representation where our technique integrates the security features of both biometric and cryptography effectively. The simulation shows that the entire protocol can be completed within 1s where false acceptance rate (FAR)=0% and false reject rate (FRR)=0.25% in FVC2002 DB1, and FAR=0% and FRR=0.125% in FVC2002 DB2. Our integration technique may also be applied on other fuzzy identity-based cryptosystems.
- Fuzzy identity-based identification
- Lagrange polynomial