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Published in:
2014 | OriginalPaper | Chapter
Evaluation of Bistable Ring PUFs Using Single Layer Neural Networks
Authors : Dieter Schuster, Robert Hesselbarth
Published in: Trust and Trustworthy Computing
Publisher: Springer International Publishing
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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.