Block cipher construction using minimum spanning tree from graph theory and its application with image encryption.

IF 2.6 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Science Progress Pub Date : 2024-10-01 DOI:10.1177/00368504241301534
Muhammad Waheed Rasheed, Abid Mahboob, Muhammad Bilal, Kiran Shahzadi
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Abstract

In modern cryptography, Substitution Boxes (S-boxes) are critical in introducing confusion into ciphertext, significantly enhancing encryption security. With the rising sophistication of hacking techniques, there is a growing need to develop stronger and more dynamic S-boxes. This paper proposes a novel method for constructing cryptographically secure S-boxes using graph theory, specifically based on the Minimum Spanning Tree (MST) of cycle graphs. The process begins by converting plaintext into vertices, forming a cycle graph. Special characters are incorporated, and ASCII-based values are assigned to vertices. The distance between vertices is calculated using their intersections, leading to the creation of an MST graph. The final step involves obtaining the adjacency matrix, which is further processed to generate the S-box. The S-box's unpredictability is enhanced by employing the S256 permutation from the symmetric group. Various cryptographic tests are conducted to evaluate the proposed S-box's performance, with results demonstrating its robustness when compared to existing S-box designs. Furthermore, this S-box is applied to an image encryption scheme, and its efficacy is thoroughly assessed. The findings highlight the potential of the proposed method to contribute significantly to cryptographic security.

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基于图论最小生成树的分组密码构造及其在图像加密中的应用。
在现代密码学中,替换盒(s -box)是引入密文混淆的关键,可以显著提高加密的安全性。随着黑客技术的日益成熟,越来越需要开发更强大、更动态的s -box。本文提出了一种基于循环图的最小生成树(MST)的图论构造密码安全s盒的新方法。该过程首先将明文转换为顶点,形成循环图。特殊字符被合并,基于ascii的值被分配给顶点。顶点之间的距离使用它们的交点来计算,从而创建一个MST图。最后一步是获取邻接矩阵,进一步处理生成s盒。S-box的不可预测性通过采用对称群中的S256排列得到增强。进行了各种密码测试来评估所提出的S-box的性能,结果表明,与现有的S-box设计相比,它具有鲁棒性。最后,将s盒算法应用于一种图像加密方案,并对其有效性进行了全面评估。这些发现突出了所提出的方法对加密安全做出重大贡献的潜力。
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来源期刊
Science Progress
Science Progress Multidisciplinary-Multidisciplinary
CiteScore
3.80
自引率
0.00%
发文量
119
期刊介绍: Science Progress has for over 100 years been a highly regarded review publication in science, technology and medicine. Its objective is to excite the readers'' interest in areas with which they may not be fully familiar but which could facilitate their interest, or even activity, in a cognate field.
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