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基于改进的双混沌系统与 DNA 编码相结合的彩色图像加密算法。

An encryption algorithm for color images based on an improved dual-chaotic system combined with DNA encoding.

机构信息

The College of Computer, Qinghai Normal University, Xining, 810016, China.

The State Key Laboratory of Tibetan Intelligent Information Processing and Application, Xining, China.

出版信息

Sci Rep. 2024 Sep 5;14(1):20733. doi: 10.1038/s41598-024-71267-9.

Abstract

This study improves the Logistic chaotic system and combines it with the hyperchaotic Chen system to create a dual chaotic system. The algorithm encrypts images in three stages. In the first stage, a plaintext-related key generation scheme is designed to generate the parameters and initial values of the dual chaotic system. In the second stage, the chaotic sequences generated by the dual chaotic system are used for dynamic DNA encoding and computation. In the third stage, the chaotic sequences generated by the improved Logistic chaotic system are used to perform row-column permutations, completing the scrambling. The security analysis of the encrypted images shows that the algorithm described in this paper is robust and secure, capable of resisting most known attacks. The algorithm is fast in encryption, provides high-quality image reconstruction, and is suitable for scenarios with high comprehensive performance and image quality requirements.

摘要

本研究改进了 Logistic 混沌系统,并将其与超混沌 Chen 系统相结合,创建了一个双混沌系统。该算法分三个阶段对图像进行加密。在第一阶段,设计了一个与明文相关的密钥生成方案,以生成双混沌系统的参数和初始值。在第二阶段,利用双混沌系统生成的混沌序列进行动态 DNA 编码和运算。在第三阶段,利用改进的 Logistic 混沌系统生成的混沌序列进行行-列置换,完成置乱。加密图像的安全性分析表明,本文描述的算法具有鲁棒性和安全性,能够抵抗大多数已知的攻击。该算法在加密方面速度较快,提供了高质量的图像重建,适用于对综合性能和图像质量要求较高的场景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc9c/11377820/081cbdfc1fe5/41598_2024_71267_Fig1_HTML.jpg

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