This paper presents a solution for the security of few-detail images in real-time applications over open or unsecure networks depending on diffusion and confusion operations. The diffusion and confusion operations are both performed based on Henon and Baker chaotic maps. XOR and permutation operations are used to allow diffusion and confusion in the algorithm. In the proposed algorithm, a high-detail image is used as a key. The computer simulation results and security analysis are given to ensure the validity and strength of the proposed algorithm. In the security analysis, we have performed key-space analysis, cropping attack analysis, noise attack analysis, and differential attack analysis. Some statistical analyses based on entropy, histogram, and correlation coefficient estimation are also given to check the strength of the presented algorithm.

本文提出了一种基于扩散和混淆操作的开放或不安全网络上实时应用中少细节图像安全的解决方案。扩散和混淆操作都是基于 Henon 和 Baker 混沌图进行的。异或和排列运算用于允许算法中的扩散和混淆。在所提出的算法中，使用高细节图像作为关键。给出了计算机仿真结果和安全性分析，保证了算法的有效性和强度。在安全分析中，我们进行了密钥空间分析、裁剪攻击分析、噪声攻击分析、差分攻击分析。还给出了一些基于熵、直方图和相关系数估计的统计分析来检查所提出算法的强度。