Robust and Reusable Fuzzy Extractors from Non-Uniform Learning with燛rrors Problem-Reference-Cited by-同舟云学术

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Robust and Reusable Fuzzy Extractors from Non-Uniform Learning with燛rrors Problem

Published:2023 Issue:1 Volume:74 Page:1985-2003
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Woo Joo,Kim Jonghyun,Hwan Park Jong

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v74n1/49888/pdf

Reference30 articles.

1. Fuzzy extractors: How to generate strong keys from biometrics and other noisy data;Dodis,2004

2. Reusable cryptographic fuzzy extractors;Boyen,2004

3. Reusable fuzzy extractor from LWE;Wen,2018

4. Reusable fuzzy extractor from the decisional Diffie-Hellman assumption;Wen;Designs, Codes and Cryptography,2018

5. Robustly reusable fuzzy extractor from standard assumptions;Wen,2018

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1. X-Lock: A Secure XOR-Based Fuzzy Extractor for Resource Constrained Devices;Lecture Notes in Computer Science;2024

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