Detail publikace

Cryptanalysis of Symmetric Encryption Algorithm Using Symbolic Regression and Genetic Programming

Originální název

Cryptanalysis of Symmetric Encryption Algorithm Using Symbolic Regression and Genetic Programming

Anglický název

Cryptanalysis of Symmetric Encryption Algorithm Using Symbolic Regression and Genetic Programming

Jazyk

en

Originální abstrakt

This article deals with the cryptanalysis of symmetric encryption algorithms. The aim of this work is to show different point of view on this issues. The dissimilar way, compared to the recent methods, lies in the use of the power of evolutionary principles which are in the cryptanalytic system applied with help of genetic programming. The work represents experiments together with projected cryptanalytic system which uses genetic programming and evaluates reached results.

Anglický abstrakt

This article deals with the cryptanalysis of symmetric encryption algorithms. The aim of this work is to show different point of view on this issues. The dissimilar way, compared to the recent methods, lies in the use of the power of evolutionary principles which are in the cryptanalytic system applied with help of genetic programming. The work represents experiments together with projected cryptanalytic system which uses genetic programming and evaluates reached results.

BibTex


@inproceedings{BUT119884,
  author="Tomáš {Smetka} and Ivan {Homoliak} and Petr {Hanáček}",
  title="Cryptanalysis of Symmetric Encryption Algorithm Using Symbolic Regression and Genetic Programming",
  annote="This article deals with the cryptanalysis of symmetric encryption algorithms. The
aim of this work is to show different point of view on this issues. The
dissimilar way, compared to the recent methods, lies in the use of the power of
evolutionary principles which are in the cryptanalytic system applied with help
of genetic programming. The work represents experiments together with projected
cryptanalytic system which uses genetic programming and evaluates reached
results.",
  address="TNS",
  booktitle="Santa's Crypto Get-Together 2015",
  chapter="119884",
  edition="NEUVEDEN",
  howpublished="print",
  institution="TNS",
  year="2015",
  month="december",
  pages="43--44",
  publisher="TNS",
  type="conference paper"
}