Digital Image Encryption and Decryption Algorithm Based on Optimization and Fusion Strategy

Nan Wan, Yi Zhang
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引用次数: 1

Abstract

Digital image chaotic system has the characteristics of large key space and strong anti-plaintext attack, so it has become a hot research topic in recent years. At present, there are still two important problems to be solved. One is that the chaos degree of chaotic sequence is not enough due to improper selection of initial parameters and the other is easy to solve by using chaotic encryption and decryption alone. In this paper, a digital image encryption and decryption algorithm based on optimization and fusion strategy is proposed. Firstly, the parameters of chaos parameters are optimized by genetic algorithm to obtain a better chaotic Logistic mapping encryption relationship. Then, the fusion encryption is carried out by two-level permutation and one-level diffusion technology. Finally, the corresponding decryption algorithm is given in this paper. Through the test of various Performance evaluation indexes, the rationality and validity of the proposed algorithm are verified.electronic document is a "live" template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.
基于优化与融合策略的数字图像加解密算法
数字图像混沌系统具有密钥空间大、抗明文攻击能力强等特点,成为近年来的研究热点。目前,还有两个重要问题需要解决。一是由于初始参数选择不当导致混沌序列的混沌程度不够,二是单独使用混沌加解密容易求解。提出了一种基于优化与融合策略的数字图像加解密算法。首先,采用遗传算法对混沌参数参数进行优化,得到较好的混沌Logistic映射加密关系;然后,采用两级置换和一级扩散技术实现融合加密。最后,本文给出了相应的解密算法。通过对各种性能评价指标的测试,验证了所提算法的合理性和有效性。电子文档是一个“活的”模板。论文的各个组成部分[标题,正文,标题等]已经在样式表中定义,如本文档中给出的部分所示。
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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