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Title:
An efficient fuzzy extractor for limited noise
Authors: B. Skoric, 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.
ePrint: https://eprint.iacr.org/2009/030
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