A physical unclonable function (PUF) is a device that exploits inherent randomness
introduced during manufacturing to give a physical entity a unique 'fingerprint'or trust anchor …

Fuzzy extractors (Dodis et al., in Advances in cryptology—EUROCRYPT 2014, Springer,
Berlin, 2014, pp 93–110) convert repeated noisy readings of a secret into the same …

We present a fuzzy extractor whose security can be reduced to the hardness of Learning
Parity with Noise (LPN) and can efficiently correct a constant fraction of errors in a biometric …

Efficient error correction and key derivation is a prerequisite to generate secure and reliable
keys from PUFs. The most common methods can be divided into linear schemes and pointer …

During the secure boot process for a trusted execution environment, the processor must
provide a chain of certificates to the remote client demonstrating that their secure container …

A fuzzy extractor (FE) enables reproducible generation of high-quality randomness from
noisy inputs having sufficient min-entropy. FEs have been proposed for deriving …

Abstract Information reconciliation is an essential part of physical-layer based key
agreement. It enables the equalization of similar, but disagreeing channel observations of …

Secure messaging heavily relies on a session key negotiated by an Authenticated Key
Exchange (AKE) protocol. However, existing AKE protocols only verify the existence of a …

Fuzzy extractors (Dodis et al., SIAM J. Computing 2008) convert repeated noisy readings of
a high-entropy secret into the same uniformly distributed key. A minimum condition for the …

A fuzzy extractor (FE) aims at deriving and reproducing (almost) uniform cryptographic keys
from noisy non-uniform sources. To reproduce an identical key R from subsequent readings …