Model building attacks on Physically Unclonable Functions using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

  author =       "Indrasish Saha and Ratan Rahul Jeldi and 
                 Rajat Subhra Chakraborty",
  title =        "Model building attacks on Physically Unclonable
                 Functions using genetic programming",
  booktitle =    "IEEE International Symposium on Hardware-Oriented
                 Security and Trust (HOST 2013)",
  year =         "2013",
  month =        "2-3 " # jun,
  pages =        "41--44",
  keywords =     "genetic algorithms, genetic programming, field
                 programmable gate arrays, Evolutionary computation,
                 physically unclonable functions (PUFs), model building,
  DOI =          "doi:10.1109/HST.2013.6581563",
  abstract =     "Design, implementation and characterisation of
                 Physically Unclonable Functions (PUFs) in silicon have
                 drawn considerable research interest in recent years.
                 However, side-by-side, there are concerns that these
                 PUF circuits, although physically unclonable, might be
                 vulnerable to computational model-building attacks that
                 compromise their security. In this work, we have used
                 ideas from evolutionary computation, specifically
                 genetic programming, to build accurate and compact
                 mathematical models to approximate the response of
                 FPGA-based ring oscillator PUFs (RO-PUFs). Hence, we
                 have demonstrated the feasibility of a computationally
                 simple scheme to model FPGA-based PUFs, and we believe
                 this work will pave the way for similar attempts to
                 attack more sophisticated PUF implementations.",
  notes =        "Also known as \cite{6581563}",

Genetic Programming entries for Indrasish Saha Ratan Rahul Jeldi Rajat Subhra Chakraborty