基于混沌映射和布谷鸟搜索算法的替换盒设计

Tanveer Akhtar, Nizamuddin, Jamal Uddin
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引用次数: 10

摘要

互联网在数据传输中的广泛应用要求有定义良好的数据保护算法。对称分组密码保护数字信息不被未经授权的接收者获取。对称密码的密码强度主要取决于替换盒(S-box)。因此,主要的挑战是创建一个具有更高非线性值的s盒。应用元启发式优化算法创建了一个安全的s盒。本文提出了一种基于混沌映射和布谷鸟搜索算法(CSA)的设计方案来增强S-box的非线性。混沌映射由于其非周期性的特性,被广泛用于创建安全s盒。该思想产生了一个非线性为109.25的s盒,增强了密码对线性攻击的安全性。将结果与最近创建的s盒和使用蚁群优化(ACO)、遗传算法(GA)和萤火虫算法(FA)等元启发式算法得到的s盒进行了比较。根据双射性、非线性、严格雪崩准则、位无关准则、线性概率和微分概率等密码准则对得到的s盒进行评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Substitution Box Design Based on Chaotic Maps and Cuckoo Search Algorithm
The widespread use of the Internet for transmission of data demands the well-defined data protection algorithms. Symmetric block cipher protects the digital information from the un-authorized recipient. The cryptographic strength of symmetric cipher mainly depends on substitution box (S-box). So the main challenge is to create an S-box with higher value of nonlinearity. Meta-heuristic optimization algorithm has been applied to create a secure S-box. In this paper, a design scheme based on chaotic maps and Cuckoo Search Algorithm (CSA) is proposed to enhance the non-linearity of S-box. Chaotic maps are widely used to create secure S-box due to their aperiodic nature. The proposed idea produced an S-box with non-linearity 109.25, which strengthens the cipher security against linear attacks. The results are compared with the recently created S-boxes and the S-boxes obtained using meta-heuristic algorithms such as Ant Colony Optimization (ACO), Genetic Algorithm (GA) and Firefly algorithm (FA). The obtained S-box is evaluated against cryptographic criteria such as bijectivity, nonlinearity, strict avalanche criteria, bit independence criteria, linear probability and differential probability.
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