A Channel Model and Soft-Decision Helper Data Algorithms for ROPUFs

Konferenz: SCC 2019 - 12th International ITG Conference on Systems, Communications and Coding
11.02.2019 - 14.02.2019 in Rostock, Germany


Tagungsband: SCC 2019

Seiten: 6Sprache: EnglischTyp: PDF

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Mueelich, Sven; Stukalov, Veniamin; Bossert, Martin (Ulm University, Institute of Communications Engineering, 89081 Ulm, Germany)
Puchinger, Sven (Technical University of Munich, Institute for Communications Engineering, 80333 Munich, Germany)

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 Ring-Oscillator 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.