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Robust Fuzzy Extractors and Helper Data Manipulation Attacks Revisited: Theory vs Practice
Fuzzy Extractor Physical Unclonable Functions Implementation Attacks
2017/6/2
Fuzzy extractors have been proposed in 2004 by Dodis et al. as a secure way to generate cryptographic keys from noisy sources. Originally, biometrics were the main motivation for fuzzy extractors but ...
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 corre...
We introduce a debiasing scheme that solves the more-noise-than-entropy problem which can
occur in Helper Data Systems when the source is very biased. We perform a condensing step,
similar to Index ...
Key-recovery Attacks on Various RO PUF Constructions via Helper Data Manipulation
helper data fuzzy extractor
2014/3/7
Physically Unclonable Functions (PUFs) are security primitives that exploit the unique manufacturing variations of an integrated circuit (IC). They are mainly used to generate secret keys. Ring oscill...
Attacking PUF-Based Pattern Matching Key Generators via Helper Data Manipulation
secret key helper data
2014/3/10
Physically Unclonable Functions (PUFs) provide a unique signature for integrated circuits (ICs), similar to a fingerprint for humans. They are primarily used to generate secret keys, hereby exploiting...