使用混沌像素变换和三维逻辑扩散的彩色图像密码

Renjith V. Ravi, S. Goyal, Sanjay Singla
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引用次数: 0

摘要

所有类型的多媒体数据,包括数字图像、音频、文本和视频,现在都很容易在互联网上访问,这是由于互联网服务和无线电信系统(包括移动和计算机系统)的显著增长,为了达到特定程度的安全性、完整性和保密性,以及防止恶意访问信息。相反,对于数据的存储和传输,加密过程是必要的。本研究提出了一种全新的、非常有效的彩色图像加密和解密算法,该算法使用扩散和像素置乱。一开始是用z字形排列来打乱数据。然后,通过隐藏像素的统计组成,二维Lozi映射被用来进一步扭曲原始图像中相邻像素之间的连接。此外,三个颜色通道的扩散是使用三维逻辑图来完成的。在解密过程中,图像像素再次被移回其原始位置。混沌映射技术对图像进行加密,以减少加密和未加密版本之间的相关性。如本研究所述,在某些彩色照片上测试和检验的加密算法显示出实质性的安全性和真实性,以抵抗统计和差分网络攻击。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Colour Image Cryptography using Chaotic Pixel Shuffling and 3D Logistic Diffusion
All types of multimedia data, including digital images, audio, text, and video, are now easily accessible on the internet due to the phenomenal growth of internet services and wireless telecommunication systems, including mobile and computer systems, in order to achieve a specific degree of security, integrity, and secrecy as well as to prevent malicious access to the information. In contrast, for data storage and transmission, cryptographic procedures are necessary. This study presents brand-new, very effective colour image encryption and decryption algorithms that use diffusion and pixel scrambling. At first Zig-Zag permutation was used to scramble the data. Then, by concealing the statistical makeup of the pixels, the two-dimensional Lozi map is used to distort further the connection between neighbouring pixels in the original image. Furthermore, the diffusion in three colour channels is accomplished using a 3D logistic map. During the decryption process, the image pixels are again moved back to their original positions. The chaotic mapping technique encrypts images to reduce the correlation between encrypted and unencrypted versions. As described in this study, the tested and examined encryption algorithm on certain colour photos showed substantial security and authenticity to resist statistical and differential cyber attacks.
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