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Sine-Cosine Optimization-Based Bijective Substitution-Boxes Construction Using Enhanced Dynamics of Chaotic Map

机译:基于正弦余弦优化的双射替代盒构造,利用混沌映射的增强动力学

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This paper proposes a novel method of constructing strong substitution-boxes (S-boxes) of order n (4 ≤ n ≤ 8) based on a recent optimization algorithm known as sine-cosine algorithm (SCA). The paper also proposes a new 1D chaotic map, which owns enhanced dynamics compared to conventional chaotic map, for generating initial population of S-boxes and facilitating the optimization mechanism of SCA. The proposed method applies the SCA with enhanced chaotic map to explore and exploit the search space for obtaining optimized S-boxes on the basis of maximization of nonlinearity as fitness function. The S-box construction involves three phases such as initialization of population, optimization, and adjustment. The simulation and performance analyses are done using standard measures of nonlinearity, strict avalanche criterion, bits independence criterion, differential uniformity, linear approximation probability, and autocorrelation function. The obtained experimental results are compared with some immediate optimization-based and other S-boxes to show the strength of proposed method for constructing bijective S-boxes of salient cryptographic features.
机译:本文基于一种称为正弦余弦算法(SCA)的最新优化算法,提出了一种构造n阶(4≤n≤8)的强替换框(S-box)的新方法。本文还提出了一种新的一维混沌图谱,与传统的混沌图谱相比,它具有增强的动力学特性,可以生成S盒的初始种群并促进SCA的优化机制。提出的方法将SCA与增强的混沌映射图相结合,在最大化非线性作为适应度函数的基础上,探索和利用搜索空间获得优化的S盒。 S盒的构建涉及三个阶段,例如初始化种群,优化和调整。使用非线性度,严格雪崩准则,位独立准则,微分均匀性,线性近似概率和自相关函数的标准度量进行仿真和性能分析。将获得的实验结果与一些基于立即优化的S-box和其他S-box进行比较,以显示所提出的构造显着密码特征的双射S-box的方法的优势。

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