Remote authentication using vaulted fingerprint verification

Fingerprint biometrics are increasingly used for identity verification. However, these require a careful balance of accuracy and privacy that is missing in many implementations. This dissertation describes a new biometric matching system, the protection of an existing datatype, and a model for matching security with error correction codes. My research develops the Vaulted Verification (VV) system into Vaulted Fingerprint Verification (VFV) by implementing VV on a fingerprint minutia triangle representation. VFV is fully compatible with protected biometric datatypes. This is demonstrated by including PMCC, as well as a protected modification of PMCC. VFV allows for key exchange using the protected biometric template. Due to the importance of error correcting codes (ECC) in VFV, a model of security with ECC is developed. It is used to identify non-trivial potential attacker uses of ECC bits.