Aplicación de autómatas celulares y algoritmos genéticos en la creación de una técnica esteganográfica

Abstract

This document describes the creation of a steganographic technique focused on image analysis, supported by Artificial Intelligence (AI) methods and mathematical optimization models. Initially, a two-dimensional Cellular Automaton (CA) (d=2) with Moore neighborhood (N(1)=8) is used, the evolution is semi-totalist in order to select the fittest pixels (cells), from those defined in Eden, by applying a set of transition rules, defined in terms of the game of life, through several generations. Then, through genetic algorithms, the rules of the CA will be improved, to finally obtain a position vector, which will be given by the implementation of a one-dimensional CA, whose operation is executed through Wolfram rules 30 or 150 as the case may be. This method has been called modular steganography.