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New Image Encryption Algorithm Based on Cascade Chaos System

机译:基于级联混沌系统的图像加密新算法

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摘要

As cascade chaos can enhance initial condition sensitivity of chaos mappings and security of chaotic pseudo-random sequences, a new image encryption algorithm is design based on cascade chaos. The algorithm is composed of three stages. The first stage is image scrambling based on chaotic weighted sampling theory and sorting transformation. The cascade chaotic interval sampling sequence is used into image scrambling, and in the second stage, the remaining values after interval sampling of cascade chaotic sequence are transformed to generate the final key matrix. The third stage is double diffusions utilized with the final key matrix. Key space, the pixels distribution characters, correlation coefficients, entropy, the ability to resist differential attack and the key sensitivity are simulated and analyzed. The simulation results prove that the proposed image encryption scheme possesses robust security features of large key space, fairly uniform distribution, and almost ideal entropy. Especially it has high sensitivity to both key and plaintext.
机译:由于级联混沌可以增强混沌映射的初始条件敏感性和混沌伪随机序列的安全性,因此设计了一种新的基于级联混沌的图像加密算法。该算法由三个阶段组成。第一阶段是基于混沌加权采样理论和排序变换的图像加扰。将级联混沌间隔采样序列用于图像加扰,并且在第二阶段,对级联混沌序列的间隔采样之后的剩余值进行变换以生成最终密钥矩阵。第三阶段是与最终密钥矩阵一起使用的双重扩散。仿真分析了关键空间,像素分布特征,相关系数,熵,抗微分攻击能力和关键灵敏度。仿真结果表明,所提出的图像加密方案具有密钥空间大,分布均匀,熵值近乎理想的鲁棒性。特别是它对密钥和明文都具有很高的敏感性。

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