Optimized Quantization in Zero Leakage Helper Data Systems

Helper data systems are a cryptographic primitive that allows for the reproducible extraction of secrets from noisy measurements. Redundancy data called helper data makes it possible to do error correction while leaking little or nothing (Zero Leakage) about the extracted secret string. We study the...

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Bibliographic Details
Published in:IEEE transactions on information forensics and security 2017-08, Vol.12 (8), p.1957-1966
Main Authors: Stanko, Taras, Nur Andini, Fitria, Skoric, Boris
Format: Article
Language:English
Subjects:
biometrics
Data mining
Data systems
fuzzy extractor
Helper data
High definition video
Iron
Mutual information
Noise measurement
PUF
Quantization (signal)
secure sketch
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Summary:Helper data systems are a cryptographic primitive that allows for the reproducible extraction of secrets from noisy measurements. Redundancy data called helper data makes it possible to do error correction while leaking little or nothing (Zero Leakage) about the extracted secret string. We study the case of non-discrete measurement outcomes. In this case, a quantization step is required. Recently, de Groot et al. described a generic method to perform the quantization in a Zero Leakage manner. We extend their work and show how the quantization intervals should be set to maximize the amount of extracted secret key material when noise is taken into account.
ISSN:1556-6013
1556-6021
DOI:10.1109/TIFS.2017.2697840