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Biometric authentication is one of the promising alternatives to standardpassword-based authentication offering better usability and security. In thiswork, we revisit the biometric authentication based on "fuzzy signatures"introduced by Takahashi et al. (ACNS'15, IJIS'19). These are special types ofdigital signatures where the secret signing key can be a "fuzzy" data such asuser's biometrics. Compared to other cryptographically secure biometricauthentications as those relying on fuzzy extractors, the fuzzy signature-basedscheme provides a more attractive security guarantee. However, despite theirpotential values, fuzzy signatures have not attracted much attention owing totheir theory-oriented presentations in all prior works. For instance, thediscussion on the practical feasibility of the assumptions (such as the entropyof user biometrics), which the security of fuzzy signatures hinges on, iscompletely missing.  In this work, we revisit fuzzy signatures and show that we can indeedefficiently and securely implement them in practice. At a high level, ourcontribution is threefold: (i) we provide a much simpler, more efficient, anddirect construction of fuzzy signature compared to prior works; (ii) weestablish novel statistical techniques to experimentally evaluate theconditions on biometrics that are required to securely instantiate fuzzysignatures; and (iii) we provide experimental results using a real-worldfinger-vein dataset to show that finger-veins from a single hand are sufficientto construct efficient and secure fuzzy signatures.  Our performance analysis shows that in a practical scenario with 112-bits ofsecurity, the size of the signature is 1256 bytes, and the running time forsigning/verification is only a few milliseconds.

Revisiting Fuzzy Signatures: Towards a More Risk-Free Cryptographic Authentication System based on Biometrics