PUF modeling attacks: An introduction and overview

@article{Rhrmair2014PUFMA,
  title={PUF modeling attacks: An introduction and overview},
  author={Ulrich R{\"u}hrmair and Jan S{\"o}lter},
  journal={2014 Design, Automation \& Test in Europe Conference \& Exhibition (DATE)},
  year={2014},
  pages={1-6}
}
  • U. Rührmair, J. Sölter
  • Published 24 March 2014
  • Computer Science
  • 2014 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Machine learning (ML) based modeling attacks are the currently most relevant and effective attack form for so-called Strong Physical Unclonable Functions (Strong PUFs). We provide an overview of this method in this paper: We discuss (i) the basic conditions under which it is applicable; (ii) the ML algorithms that have been used in this context; (iii) the latest and most advanced results; (iv) the right interpretation of existing results; and (v) possible future research directions. 
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