Touch of Privacy: A Homomorphic Encryption-Powered Deep Learning Framework for Fingerprint Authentication

Touch of Privacy: A Homomorphic Encryption-Powered Deep Learning Framework for Fingerprint Authentication

Deep learning and fully homomorphic encryption (FHE) are integrated for privacy-preserving fingerprint recognition. Convolutional neural network (CNN) extract fingerprint features encrypted using the Cheon-Kim-Kim-Song (CKKS) FHE scheme. TenSEAL ensures all computations occur in the encrypted domain...

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Bibliographic Details
Main Authors: U. Sumalatha, K. Krishna Prakasha, Srikanth Prabhu, Vinod C. Nayak
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Biometric authentication
cloud-based biometric security
cryptographic biometrics
encrypted domain authentication
fingerprint recognition
privacy-preserving biometrics
Online Access:https://ieeexplore.ieee.org/document/10943137/
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