@inproceedings{87afca8020964a01adc2671ee8e312d6,
title = "A Channel Model and Soft-Decision Helper Data Algorithms for ROPUFs",
abstract = "Physical Unclonable Functions (PUFs) are hardware primitives that can generate reproducible responses based on intrinsic randomness inside the device. These responses can be used for cryptographic purposes like key generation or key storage. Since PUF outputs are noisy, error-correcting codes have to be used. In this work, we derive a channel model for RingOscillator Physical Unclonable Functions (ROPUFs) by deriving a response distribution. We use the gained soft information in order to propose a new soft-decision Helper Data Algorithm (HDA) that significantly improves previous results.",
keywords = "Helper Data Algorithms, Physical Unclonable Functions, Soft Decision Decoding",
author = "Sven M{\~A}elich and Sven Puchinger and Veniamin Stukalov and Martin Bossert",
note = "Publisher Copyright: {\textcopyright} 2019 VDE VERLAG GMBH - Berlin - Offenbach.; 12th International ITG Conference on Systems, Communications and Coding, SCC 2019 ; Conference date: 11-02-2019 Through 14-02-2019",
year = "2019",
doi = "10.30420/454862043",
language = "English",
series = "SCC 2019 - 12th International ITG Conference on Systems, Communications and Coding",
publisher = "VDE VERLAG GMBH",
pages = "251--256",
booktitle = "SCC 2019 - 12th International ITG Conference on Systems, Communications and Coding",
}