Robust and Reusable Fuzzy Extractors and their Application to Authentication from Iris Data

ePrint Report: Robust and Reusable Fuzzy Extractors and their Application to Authentication from Iris Data

Somnath Panja, Nikita Tripathi, Shaoquan Jiang, Reihaneh Safavi-Naini

Fuzzy extractors (FE) are cryptographic primitives that establish a shared secret between two parties who have similar samples of a random source, and can communicate over a public channel. An example for this is that Alice has a stored biometric at a server and wants to have authenticated communication using a new reading of her biometric on …

alice application authentication biometric channel data eprint report public random report secret server