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一种基于随机哈密顿路径的图像加密算法。

An Image Encryption Algorithm Based on Random Hamiltonian Path.

作者信息

Zhang Wei, Wang Shuwen, Han Weijie, Yu Hai, Zhu Zhiliang

机构信息

Software College, Northeastern University, No.11, Lane 3, Wenhua Road, Shenyang 110819, China.

出版信息

Entropy (Basel). 2020 Jan 6;22(1):73. doi: 10.3390/e22010073.

Abstract

In graph theory, Hamiltonian path refers to the path that visits each vertex exactly once. In this paper, we designed a method to generate random Hamiltonian path within digital images, which is equivalent to permutation in image encryption. By these means, building a Hamiltonian path across bit planes can shuffle the distribution of the pixel's bits. Furthermore, a similar thought can be applied for the substitution of pixel's grey levels. To ensure the randomness of the generated Hamiltonian path, an adjusted Bernoulli map is proposed. By adopting these novel techniques, a bit-level image encryption scheme was devised. Evaluation of simulation results proves that the proposed scheme reached fair performance. In addition, a common flaw in calculating correlation coefficients of adjacent pixels was pinpointed by us. After enhancement, correlation coefficient becomes a stricter criterion for image encryption algorithms.

摘要

在图论中,哈密顿路径是指恰好访问每个顶点一次的路径。在本文中,我们设计了一种在数字图像中生成随机哈密顿路径的方法,这等同于图像加密中的置换。通过这些方法,构建一条跨越位平面的哈密顿路径可以打乱像素位的分布。此外,类似的思路可应用于像素灰度级的替换。为确保生成的哈密顿路径的随机性,提出了一种调整后的伯努利映射。通过采用这些新颖技术,设计了一种位级图像加密方案。对仿真结果的评估证明所提出的方案性能良好。此外,我们指出了计算相邻像素相关系数时的一个常见缺陷。经过改进后,相关系数成为图像加密算法更严格的标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e691/7516506/5536c9c73b4e/entropy-22-00073-g001.jpg

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