Department of IT Convergence Engineering, Gachon University, Seongnam, South Korea.
Department of Computer Engineering, Gachon University, Seongnam, South Korea.
Sci Rep. 2023 Jan 19;13(1):1099. doi: 10.1038/s41598-023-28002-7.
Cryptosystems are commonly deployed to secure data transmission over an insecure line of communication. To provide confusion in the data over insecure networks, substitution boxes are the solitary components for delivering a nonlinear mapping between inputs and outputs. A confusion component of a block cipher with high nonlinearity and low differential and linear approximation probabilities is considered secure against cryptanalysis. This study aims to design a highly nonlinear substitution-permutation network using the blotch symmetry of quantum spin states on the Galois field GF (2). To observe the efficiency of the proposed methodology, some common and advanced measures were evaluated for performance, randomness, and cryptanalytics. The outcomes of these analyses validate that the generated nonlinear confusion components are effective for block ciphers and attain better cryptographic strength with a high signal-to-noise ratio in comparison to state-of-the-art techniques.
密码系统通常用于保护不安全通信线路上的数据传输。为了在不安全的网络上混淆数据，置换盒是在输入和输出之间提供非线性映射的唯一组件。具有高非线性和低差分和线性逼近概率的分组密码的混淆组件被认为可以抵御密码分析。本研究旨在使用伽罗瓦域 GF(2)上量子自旋状态的斑点对称性设计一个具有高度非线性的替代置换网络。为了观察所提出方法的效率，对一些常见和先进的措施进行了评估，以评估其性能、随机性和密码分析。这些分析的结果验证了所生成的非线性混淆分量对于分组密码是有效的，并与最先进的技术相比，在高信噪比下获得了更好的密码强度。
