Detail publikace

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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.

Klíčová slova

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

Autoři

HUSA, J.

Vydáno

6. 2. 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/"
}