Paper 2016/320
On Metrics to Quantify the Inter-Device Uniqueness of PUFs
Linus Feiten, Matthias Sauer, and 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
-
CC BY
BibTeX
@misc{cryptoeprint:2016/320,
author = {Linus Feiten and Matthias Sauer and Bernd Becker},
title = {On Metrics to Quantify the Inter-Device Uniqueness of {PUFs}},
howpublished = {Cryptology {ePrint} Archive, Paper 2016/320},
year = {2016},
url = {https://eprint.iacr.org/2016/320}
}
