ANÁLISIS DE EFICIENCIA Y CALIDAD ENTRE EL ALGORITMO AES CBC Y EL MAPA DE ARNOLD PARA EL CIFRADO DE IMÁGENES DIGITALES

Abstract

This document presents a cross-analysis between the AES CBC algorithm and the chaos theory-based Arnold map, which will serve as a guide for choosing the most efficient algorithm when encrypting and deciphering digital images. To perform the analysis was developed an experimental case of simulation of two digital images with different pixel sizes to later apply in them encryption and decryption using the algorithms AES CBC and Arnold map in Different execution environments with Linux-based operating systems. In this simulation two fundamental aspects were analyzed as the processing time at the time of encrypting and deciphering a digital image applying the two algorithms and the quality of encryption by means of the correlation coefficient. For the execution of the simulation a program based on Python programming language was developed, which allowed to work in an easy way in the manipulation of digital images. This program also generated illustrative data on the analysis of the characteristics of the algorithms. Finally, after analyzing and comparing the simulation data, it was concluded that the AES CBC algorithm manages optimal times in the encryption and decryption process of a digital image. On the other hand, the map of Arnold takes advantage of the algorithm AES CBC with respect to the correlation of pixels, because the map of Arnold does not distort the pixels of an image. This research can serve as a starting point for future work related to the encrypted quality of digital images in public