Publication detail

Comparison of Genetic Programming Methods on Design of Cryptographic Boolean Functions

HUSA, J.

Original Title

Comparison of Genetic Programming Methods on Design of Cryptographic Boolean Functions

Type

conference paper

Language

English

Original Abstract

The ever-increasing need for information security requires a constant refinement of contemporary ciphers. One of these are stream ciphers which secure data by utilizing a pseudo-randomly generated binary sequence. Generating a cryptographically secure sequence is not an easy task and requires a Boolean function possessing multiple cryptographic properties. One of the most successful ways of designing these functions is genetic programming. In this paper, we present a comparative study of three genetic programming methods, tree-based, Cartesian and linear, on the task of generating Boolean functions with an even number of inputs possessing good values of nonlinearity, balancedness, correlation immunity, and algebraic degree. Our results provide a comprehensive overview of how genetic programming methods compare when designing functions of different sizes, and we show that linear genetic programming, which has not been used for design of some of these functions before, is the best at dealing with increasing number of inputs, and creates desired functions with better reliability than the commonly used methods.

Keywords

Genetic Programming, Cartesian Genetic Programming, Linear Genetic Programming, Cryptographic Boolean functions, Comparative Study.

Authors

HUSA, J.

Released

24. 4. 2019

Publisher

Springer International Publishing

Location

Cham

ISBN

978-3-030-14811-9

Book

Genetic Programming 22st European Conference, EuroGP 2019, Proceedings

Pages from

228

Pages to

244

Pages count

17

URL

https://www.fit.vut.cz/research/publication/11918/

BibTex

@inproceedings{BUT157181,
  author="Jakub {Husa}",
  title="Comparison of Genetic Programming Methods on Design of Cryptographic Boolean Functions",
  booktitle="Genetic Programming 22st European Conference, EuroGP 2019, Proceedings",
  year="2019",
  pages="228--244",
  publisher="Springer International Publishing",
  address="Cham",
  doi="10.1007/978-3-030-16670-0\{_}15",
  isbn="978-3-030-14811-9",
  url="https://www.fit.vut.cz/research/publication/11918/"
}