An image encryption algorithm based on multi-layered chaotic maps and its security analysis

IF 3.2 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Connection Science Pub Date : 2024-02-03 DOI:10.1080/09540091.2024.2312108

Erdal Güvenoğlu

引用次数: 0

Abstract

This study introduces a novel symmetric image encryption algorithm that employs a multi-layered architecture of chaotic maps, incorporating both confusion and diffusion components. The selected cha...

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基于多层混沌图的图像加密算法及其安全性分析

本研究介绍了一种新颖的对称图像加密算法，该算法采用混沌图的多层结构，同时包含混淆和扩散成分。所选的混沌映射图是一个多层结构，同时包含混淆和扩散成分。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Connection Science 工程技术-计算机：理论方法

CiteScore

6.50

自引率

39.60%

发文量

审稿时长

3 months

期刊介绍： Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering.