Welcome to the resource topic for 2014/741
Title:
Eliminating Leakage in Reverse Fuzzy Extractors
Authors: André Schaller, Taras Stanko, Boris Škorić, Stefan Katzenbeisser
Abstract:In recent years Physically Unclonable Functions (PUFs) have been proposed as a promising building block for key storage and device authentication. PUFs are physical systems and as such their responses are inherently noisy, precluding a straightforward derivation of cryptographic key material from raw PUF measurements. To overcome this drawback, Fuzzy Extractors are used to eliminate the noise and guarantee robust outputs. A special type are Reverse Fuzzy Extractors, shifting the computational load of error correction towards a computationally powerful verifier. However, the Reverse Fuzzy Extractor reveals error patterns to any eavesdropper, which may cause privacy issues (due to a systematic drift of the PUF responses, the error pattern is linkable to the identity) and even security problems (if the noise is data-dependent). In this work we investigate both these issues and propose modified protocols that eliminate the problems.
ePrint: https://eprint.iacr.org/2014/741
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