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Evaluation of bistable ring PUFs using single layer neural networks

: Schuster, D.; Hesselbarth, R.


Holz, T.:
Trust and trustworthy computing. 7th international conference, TRUST 2014 : Heraklion, Crete, Greece, June 30 - July 2, 2014; Proceedings
Cham: Springer International Publishing, 2014 (Lecture Notes in Computer Science 8564)
ISBN: 978-3-319-08592-0 (Print)
ISBN: 978-3-319-08593-7 (Online)
International Conference on Trust and Trustworthy Computing (TRUST) <7, 2014, Heraklion>
Fraunhofer AISEC ()

This paper presents an analysis of a bistable ring physical unclonable function (BR-PUF) implemented on a field-programmable gate array (FPGA) using a single layer artificial neural network (ANN). The BR-PUF was proposed as a promising circuit-based strong PUF candidate, given that a simple model for its behaviour is unknown by now and hence modeling-based attacks would be hard. In contrast to this, we were able to find a strongly linear influence in the mapping of challenges to responses in this architecture. Further, we show how an alternative implementation of a bistable ring, the twisted bistable ring PUF (TBR-PUF), leads to an improved response behaviour. The effectiveness and a possible explaination of the improvements is demonstrated using our machine learning analysis approach.