Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication

arXiv:2312.11575v2 Announce Type: replace
Abstract: Fingerprint authentication is a popular security mechanism for smartphones and laptops. However, its adoption in web and cloud environments has been limited due to privacy concerns over storing and processing biometric data on servers. This paper introduces Blind-Touch, a novel machine learning-based fingerprint authentication system leveraging homomorphic encryption to address these privacy concerns. Homomorphic encryption allows computations on encrypted data without decrypting. Thus, Blind-Touch can keep fingerprint data encrypted on the server while performing machine …

adoption arxiv authentication biometric biometric data cloud cloud environments cs.cr data distributed encryption environments fingerprint fingerprint authentication homomorphic encryption laptops machine machine learning mechanism network neural network novel popular privacy privacy concerns security servers smartphones web