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一种基于魔方空间并行旋转置乱的混合混沌图像加密方法。

A Mixed Chaotic Image Encryption Method Based on Parallel Rotation Scrambling in Rubik's Cube Space.

作者信息

Xu Lu, Chen Yun, Qin Yanlin, Yang Zhichao

机构信息

Department of Information Security, Naval University of Engineering, Wuhan 430033, China.

出版信息

Entropy (Basel). 2025 May 28;27(6):574. doi: 10.3390/e27060574.

Abstract

Most image encryption methods based on Rubik's cube scrambling adopt the idea of cyclic shift or map the image pixels to the cube surface, not fully considering the cube's three-dimensional (3D) properties. In response to this defect, we propose a mixed chaotic color image encryption method based on parallel rotation scrambling in 3D Rubik's cube space. First, a seven-dimensional hyperchaotic system is introduced to generate chaotic pseudo-random integer sequences. Then, a proven lemma is applied to preprocess the red (R), green (G), and blue (B) channels of the plain image to realize the first diffusion. Next, the chaotic integer sequence is employed to control Arnold transformation, and the scrambled two-dimensional (2D) pixel matrix is converted into a 3D matrix. Then, the 3D cube is scrambled by dynamically selecting the rotating axis, layer number, and angle through the chaotic integer sequence. The scrambled 3D matrix is converted into a 2D matrix, realizing the second diffusion via exclusive OR with the chaotic matrix generated by logistic mapping. Finally, the matrices of the R, G, and B channels are combined into an encrypted image. By performing the encryption algorithm in reverse, the encrypted image can be decrypted into the plain image. A simulation analysis shows that the proposed method has a larger key space and exhibits stronger key sensitivity than some existing methods.

摘要

大多数基于魔方置乱的图像加密方法采用循环移位的思想或将图像像素映射到魔方表面,没有充分考虑魔方的三维(3D)特性。针对这一缺陷,我们提出了一种基于三维魔方空间并行旋转置乱的混合混沌彩色图像加密方法。首先,引入一个七维超混沌系统来生成混沌伪随机整数序列。然后,应用一个已证明的引理对明文图像的红(R)、绿(G)和蓝(B)通道进行预处理,以实现第一次扩散。接下来,利用混沌整数序列控制阿诺德变换,将置乱后的二维(2D)像素矩阵转换为三维矩阵。然后,通过混沌整数序列动态选择旋转轴、层数和角度对三维魔方进行置乱。将置乱后的三维矩阵转换为二维矩阵,通过与逻辑斯谛映射生成的混沌矩阵进行异或运算实现第二次扩散。最后,将R、G和B通道的矩阵组合成加密图像。通过反向执行加密算法,可以将加密图像解密为明文图像。仿真分析表明,该方法比一些现有方法具有更大的密钥空间和更强的密钥敏感性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b758/12191450/a2fdc50c48eb/entropy-27-00574-g001.jpg

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