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Construction of S-box based on chaotic Boolean functions and its application in image encryption

机译:基于混沌布尔函数的S盒构造及其在图像加密中的应用

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摘要

In numerous encryption frameworks, the first information is changed into encoded form by applying nonlinear substitutions and affecting diffusion. The goal of the nonlinear change is to accomplish high level of randomness in the image content. The choice of the source of randomness is critical because the success in cryptanalysis is demarked by the characteristics identified in the encrypted data. The chaotic frameworks show random conduct that is suitable for encryption applications where nonlinear transformations are needed in the middle of plaintext and the scrambled information. The application of nonlinear functional chaos-based system with embedded chaotic systems and binary chaotic sequences can prompt randomness and diffusion in the information. In addition to the high state of randomness, the requirement for various round keys is needed in a run of the mill substitution-permutation process. The proposed strategy kills the requirement for different round keys, which is suitable for high-speed communication frameworks. The measurable analyses performed on the proposed nonlinear algorithm which show improvement in encryption quality and safety against numerous brute-force and statistical attacks. Also, the proposed framework demonstrates high safety against differential and linear cryptanalysis.
机译:在许多加密框架中,通过应用非线性替换并影响扩散,第一信息变成了编码形式。非线性变化的目标是在图像内容中实现高度的随机性。随机源的选择至关重要,因为密码分析的成功取决于加密数据中标识的特征。混沌框架显示了随机行为,适用于在明文和加扰的信息中间需要进行非线性变换的加密应用。具有嵌入的混沌系统和二进制混沌序列的基于非线性功能混沌的系统的应用可以促进信息的随机性和扩散性。除了高度的随机性状态之外,在工厂替换置换过程中还需要各种回合密钥。所提出的策略消除了对不同回合密钥的需求,这适合于高速通信框架。对提出的非线性算法进行的可衡量的分析表明,针对多种蛮力和统计攻击,加密质量和安全性得到了改善。而且,提出的框架展示了针对差分和线性密码分析的高度安全性。

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