PRACTICAL REUSABLE FUZZY EXTRACTOR BASED ON THE LEARNING-WITH-ERROR ASSUMPTION AND RANDOM ORACLE

摘要

Described is a system for biometric authentication. The system converts biometric data into a cryptographic key r' using a reusable fuzzy extractor process having an underlying hash function modeling a random oracle model. The system allows access to secured services when a comparison of r' to a previously computed cryptographic key r shows a match.