Using evolutionary computation to create vectorial Boolean functions with low differential uniformity and high nonlinearityReportar como inadecuado



 Using evolutionary computation to create vectorial Boolean functions with low differential uniformity and high nonlinearity


Using evolutionary computation to create vectorial Boolean functions with low differential uniformity and high nonlinearity - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Descargar gratis o leer online en formato PDF el libro: Using evolutionary computation to create vectorial Boolean functions with low differential uniformity and high nonlinearity
The two most important criteria for vectorial Boolean functions used as S-boxes in block ciphers are differential uniformity and nonlinearity. Previous work in this field has focused only on nonlinearity and a different criterion, autocorrelation. In this paper, we describe the results of experiments in using simulated annealing, memetic algorithms, and ant colony optimisation to create vectorial Boolean functions with low differential uniformity. Keywords: Metaheuristics, simulated annealing, memetic algorithms, ant colony optimization, cryptography, Boolean functions, vectorial Boolean functions.



Autor: James McLaughlin; John A. Clark

Fuente: https://archive.org/



DESCARGAR PDF




Documentos relacionados