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Paper 2009/030

An efficient fuzzy extractor for limited noise

B. Skoric and P. Tuyls

Abstract

A fuzzy extractor is a security primitive that allows for reproducible extraction of an almost uniform key from a noisy non-uniform 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.

Note: The discussion of robustness has been updated.

Metadata
Available format(s)
PDF
Publication info
Published elsewhere. Unknown where it was published
Keywords
fuzzy extractor
Contact author(s)
b skoric @ tue nl
History
2009-07-21: revised
2009-01-17: received
See all versions
Short URL
https://ia.cr/2009/030
License
Creative Commons Attribution
CC BY
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