基于新的超混沌系统和贝克图,对多幅图像进行整合加密

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Xingbin Liu
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引用次数: 0

摘要

图像加密是保护信息在传输和存储阶段免遭未经授权访问的重要手段。本文介绍了一种专为多图像量身定制的集成加密算法,利用新颖的超混沌系统和贝克图来扩展密钥空间并增强安全措施。该方法包含一个置换-扩散框架,在置换和扩散操作中都采用了从超混沌系统中提取的序列。首先,多幅图像经过混合,合并成一幅单一图像。随后,利用贝克图进一步扰乱这个混合图像,从而延长扰乱时间。最后,通过对 "之 "字形扫描图像的像素序列进行前向-后向扩散,生成密文图像。实验结果证实了所提方案的高安全性,证明了该方案能够抵御各种威胁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Integrate encryption of multiple images based on a new hyperchaotic system and Baker map

Integrate encryption of multiple images based on a new hyperchaotic system and Baker map

Image encryption serves as a crucial means to safeguard information against unauthorized access during both transmission and storage phases. This paper introduces an integrated encryption algorithm tailored for multiple images, leveraging a novel hyperchaotic system and the Baker map to augment the key space and enhance security measures. The methodology encompasses a permutation-diffusion framework, employing sequences derived from the hyperchaotic system for both permutation and diffusion operations. Initially, the multiple images undergo intermixing, consolidating them into a singular image. Subsequently, the Baker map is employed to further scramble this amalgamated image, thereby extending the scrambling period. Ultimately, the ciphertext image is generated through forward–backward diffusion applied to the pixel sequence of the Zigzag scanned image. Experimental findings substantiate the high-security efficacy of the proposed scheme, demonstrating resilience against diverse threats.

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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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