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Efficient and Privacy-preserving Online Biometric Authentication Scheme

Biometric identity authentication is the most important way of identity authentication. More and more network services such as account login and online payment are using biometric authentication. In these scenarios, it is significant to protect the privacy of biometrics data. Such as the collection, transmission, storage and matching of biometrics data. Based on discrete logarithm problem and Bloom filter, this paper proposes a privacy-preserving online biometric authentication scheme. The correctness, security and computational complexity of the scheme are analyzed. Main algorithms of the scheme are implemented in python to evaluate its performance. The experimental data shows that the scheme is more efficient than the existing online biometric authentication scheme.