Evaluating the permutation and diffusion operations used in image encryption based on chaotic maps
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Updated
Oct 2, 2018 - C++
Evaluating the permutation and diffusion operations used in image encryption based on chaotic maps
Some visualizations of the logistic map and its link with the Mandelbrot set
Visualization of the chaotic behavior of the logistic map, and other iterated maps, in Python, with GUI in Qt5
Encryption through networks of coupled chaotic maps
Discrete wavelet transform based image watermarking approach along with chaotic map based encryption of watermarks
Files related to my Summer of Science Report on Nonlinear Dynamics
Pseudo-Random Number Generator algorithms used for the final essay of the elective course "Reti e sistemi complessi: fenomeni fisici e interazioni sociali".
Materials developed to Computational Physics course.
Small class that represents a logistic mapping.
Compute the period-2 accumulation point of the logistic map by finding the bifurcation points lambda_n for increasing n. Then use sequence acceleration techniques to extend the number of digits found.
The Logistic map is commonly used map in chaos-based image encryption.
A novel image encryption algorithm implementing 3D Logistic Map and Improved Chirikov Map for secure and robust image encryption. Features enhanced security through chaotic mapping, high key sensitivity, and resistance to cryptographic attacks. With proven effectiveness against brute force and statistical attacks.
This Matlab code is used for creating logistic map values.
Computation of the logistic map's period-2 accumulation point. I calculate the sequence of superstable points R_n using non-derivative root-finding methods. I increase the number of digits in the accumulation point computation using sequence acceleration techniques.
Des programmes codés en Python pour modéliser l'application logistique, son diagramme de bifurcation et les différentes fractales qui lui sont associées (l'ensemble de Mandelbrot et les ensembles de Julia).
A Python package to simulate and measure chaotic dynamical systems.
Dynamical model implementations are available. Introduction to nonlinear systems.
Periods and logistic map visualizer written on Processing.
Fortran90 examples of Dynamic Systems
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