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Paper 2016/320

On Metrics to Quantify the Inter-Device Uniqueness of PUFs

Linus Feiten, Matthias Sauer, Bernd Becker

Abstract

Physically Unclonable Functions (PUFs) have been an emerging topic in hardware security and trust in recent years, and many different kinds of PUFs have been presented in the literature. An important criterion is always the diversity of PUF responses for different devices, called inter-device uniqueness. A very popular uniqueness metric consists of calculating the pairwise hamming distance between the response bit-strings of all devices, assuming that all response bits are uncorrelated. Such correlations, however, should be regarded when a statement about inter-device uniqueness is made. We therefore propose a novel correlation metric to fulfil this requirement. Furthermore, we show that the hamming distance metric is actually redundant when at the same time the also popular bit-aliasing metric is applied.

Metadata
Available format(s)
PDF
Category
Applications
Publication info
Preprint. MINOR revision.
Keywords
PUFPhysically Unclonable FunctionUniquenessMetricHamming DistanceBit AliasingCorrelation
Contact author(s)
feiten @ informatik uni-freiburg de
History
2016-03-22: received
Short URL
https://ia.cr/2016/320
License
Creative Commons Attribution
CC BY
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