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Paper 2014/605

On the Possibilities and Limitations of Computational Fuzzy Extractors

Kenji Yasunaga and Kosuke Yuzawa

Abstract

We present positive and negative results of fuzzy extractors with computational security. As a negative result, we show that, under a certain computational condition, the existence of a computational fuzzy extractor implies the existence of an information-theoretic fuzzy extractor with slightly weaker parameters. The condition is that the generation procedure of the fuzzy extractor is efficiently invertible by an injective function. Our result implies that to circumvent the limitations of information-theoretic fuzzy extractors, we need to employ computational fuzzy extractors that are not invertible by injective functions. As positive results, we present constructions of computational fuzzy extractors based on a leakage-resilient key encapsulation mechanism and a strong decisional Diffie-Hellman assumption.

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Publication info
Preprint. MINOR revision.
Keywords
fuzzy extractorerror-correcting codeleakage-resilient cryptographykey encapsulation mechanism
Contact author(s)
yasunaga @ se kanazawa-u ac jp
History
2018-03-15: last of 5 revisions
2014-08-13: received
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Short URL
https://ia.cr/2014/605
License
Creative Commons Attribution
CC BY
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