DagSemProc.09282.3.pdf
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An efficient fuzzy extractor for limited noise
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Dagstuhl Seminar Proceedings, Volume 9282
Series: Dagstuhl Seminar Proceedings (DagSemProc) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2010-01-13
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Boris Skoric and Pim Tuyls. An efficient fuzzy extractor for limited noise. In Foundations for Forgery-Resilient Cryptographic Hardware. Dagstuhl Seminar Proceedings, Volume 9282, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)
https://doi.org/10.4230/DagSemProc.09282.3
Abstract
A fuzzy extractor is a security primitive that allows for reproducible extraction of an almost uniform key from a non-uniform noisy source. We analyze a fuzzy extractor scheme that uses universal hash functions for both information reconciliation and privacy amplification. This is a useful scheme when the number of error patterns likely to occur is limited, regardless of the error probabilities. We derive a sharp bound on the uniformity of the extracted key, making use of the concatenation property of universal hash functions and a recent tight formulation of the leftover hash lemma.
Subject Classification
Keywords
- Fuzzy Extractor
- PUF
- physical unclonable function
- universal hash
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