Detail publikačního výsledku

Designing Correlation Immune Boolean Functions With Minimal Hamming Weight Using Various Genetic Programming Methods

HUSA, J.

Originální název

Designing Correlation Immune Boolean Functions With Minimal Hamming Weight Using Various Genetic Programming Methods

Anglický název

Designing Correlation Immune Boolean Functions With Minimal Hamming Weight Using Various Genetic Programming Methods

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

In this paper we search for Boolean functions with properties that make them useful in cryptography for preventing side-channel attacks. To find these functions we use three genetic programming methods, including linear genetic programming, which has not been used to design these functions before. Our results aim to provide a fair comparison between the methods, by searching for each method's best performing parameters, and provide an insight into how well they cope with growing number of function inputs and demand for higher correlation immunity.

Anglický abstrakt

In this paper we search for Boolean functions with properties that make them useful in cryptography for preventing side-channel attacks. To find these functions we use three genetic programming methods, including linear genetic programming, which has not been used to design these functions before. Our results aim to provide a fair comparison between the methods, by searching for each method's best performing parameters, and provide an insight into how well they cope with growing number of function inputs and demand for higher correlation immunity.

Klíčová slova


Evolutionary algorithms, Genetic Programming, Cartesian Genetic
Programming, Linear Genetic Programming, Cryptography, Boo-
lean Functions, Hamming Weight, Correlation Immunity.

Klíčová slova v angličtině


Evolutionary algorithms, Genetic Programming, Cartesian Genetic
Programming, Linear Genetic Programming, Cryptography, Boo-
lean Functions, Hamming Weight, Correlation Immunity.

Autoři

HUSA, J.

Rok RIV

2020

Vydáno

06.02.2019

Nakladatel

Association for Computing Machinery

Místo

Praha

ISBN

978-1-4503-6748-6

Kniha

GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion

Strany od

342

Strany do

343

Strany počet

2

URL

https://www.fit.vut.cz/research/publication/11919/

BibTex

@inproceedings{BUT161446,
  author="Jakub {Husa}",
  title="Designing Correlation Immune Boolean Functions With Minimal Hamming Weight Using Various Genetic Programming Methods",
  booktitle="GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion",
  year="2019",
  pages="342--343",
  publisher="Association for Computing Machinery",
  address="Praha",
  doi="10.1145/3319619.3321925",
  isbn="978-1-4503-6748-6",
  url="https://www.fit.vut.cz/research/publication/11919/"
}

Dokumenty

Husa