Evolutionary Algorithms for Boolean Functions in Diverse Domains of Cryptography
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{Picek:2016:EC,
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author = "Stjepan Picek and Claude Carlet and
Sylvain Guilley and Julian F. Miller and Domagoj Jakobovic",
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journal = "Evolutionary Computation",
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title = "Evolutionary Algorithms for Boolean Functions in
Diverse Domains of Cryptography",
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year = "2016",
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volume = "24",
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number = "4",
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pages = "667--694",
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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.",
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keywords = "genetic algorithms, genetic programming, Boolean
functions, Evolutionary algorithms, comparison.,
cryptography",
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DOI = "doi:10.1162/EVCO_a_00190",
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ISSN = "1063-6560",
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month = dec,
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notes = "Also known as \cite{7765316}",
- }
Genetic Programming entries for
Stjepan Picek
Claude Carlet
Sylvain Guilley
Julian F Miller
Domagoj Jakobovic
Citations