Evolutionary Algorithms for Boolean Functions in Diverse Domains of Cryptography

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Stjepan Picek and Claude Carlet and 
                 Sylvain Guilley and Julian F. Miller and Domagoj Jakobovic",
  journal =      "Evolutionary Computation",
  title =        "Evolutionary Algorithms for Boolean Functions in
                 Diverse Domains of Cryptography",
  year =         "2016",
  volume =       "24",
  number =       "4",
  pages =        "667--694",
  abstract =     "The role of Boolean functions is prominent in several
                 areas including cryptography, sequences, and coding
                 theory. Therefore, various methods for the construction
                 of Boolean functions with desired properties are of
                 direct interest. New motivations on the role of Boolean
                 functions in cryptography with attendant new properties
                 have emerged over the years. There are still many
                 combinations of design criteria left unexplored and in
                 this matter evolutionary computation can play a
                 distinct role. This article concentrates on two
                 scenarios for the use of Boolean functions in
                 cryptography. The first uses Boolean functions as the
                 source of the nonlinearity in filter and combiner
                 generators. Although relatively well explored using
                 evolutionary algorithms, it still presents an
                 interesting goal in terms of the practical sizes of
                 Boolean functions. The second scenario appeared rather
                 recently where the objective is to find Boolean
                 functions that have various orders of the correlation
                 immunity and minimal Hamming weight. In both these
                 scenarios we see that evolutionary algorithms are able
                 to find high-quality solutions where genetic
                 programming performs the best.",
  keywords =     "genetic algorithms, genetic programming, Boolean
                 functions, Evolutionary algorithms, comparison.,
  DOI =          "doi:10.1162/EVCO_a_00190",
  ISSN =         "1063-6560",
  month =        dec,
  notes =        "Also known as \cite{7765316}",

Genetic Programming entries for Stjepan Picek Claude Carlet Sylvain Guilley Julian F Miller Domagoj Jakobovic