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使用牛顿-拉弗森方法和一般比斯基-奈姆扎达双寡头垄断系统的加密算法。

Cryptographic Algorithm Using Newton-Raphson Method and General Bischi-Naimzadah Duopoly System.

作者信息

Karawia Abdelrahman

机构信息

Mathematics Department, Faculty of Science Mansoura University, Mansoura 35516, Egypt.

出版信息

Entropy (Basel). 2020 Dec 31;23(1):57. doi: 10.3390/e23010057.

Abstract

Image encryption is an excellent method for the protection of image content. Most authors used the permutation-substitution model to encrypt/decrypt the image. Chaos-based image encryption methods are used in this model to shuffle the rows/columns and change the pixel values. In parallel, authors proposed permutation using non-chaotic methods and have displayed good results in comparison to chaos-based methods. In the current article, a new image encryption algorithm is designed using combination of Newton-Raphson's method (non-chaotic) and general Bischi-Naimzadah duopoly system as a hyperchaotic two-dimensional map. The plain image is first shuffled by using Newton-Raphson's method. Next, a secret matrix with the same size of the plain image is created using general Bischi-Naimzadah duopoly system. Finally, the XOR between the secret matrix and the shuffled image is calculated and then the cipher image is obtained. Several security experiments are executed to measure the efficiency of the proposed algorithm, such as key space analysis, correlation coefficients analysis, histogram analysis, entropy analysis, differential attacks analysis, key sensitivity analysis, robustness analysis, chosen plaintext attack analysis, computational analysis, and NIST statistical Tests. Compared to many recent algorithms, the proposed algorithm has good security efficiency.

摘要

图像加密是保护图像内容的一种出色方法。大多数作者使用置换 - 替换模型对图像进行加密/解密。基于混沌的图像加密方法在该模型中用于对行/列进行置乱并更改像素值。同时,作者们提出了使用非混沌方法的置换,并且与基于混沌的方法相比显示出了良好的效果。在当前文章中,一种新的图像加密算法被设计出来,它结合了牛顿 - 拉夫逊方法(非混沌)和作为超混沌二维映射的一般比斯基 - 奈姆扎达双寡头系统。首先使用牛顿 - 拉夫逊方法对明文图像进行置乱。接下来,使用一般比斯基 - 奈姆扎达双寡头系统创建一个与明文图像大小相同的秘密矩阵。最后,计算秘密矩阵与置乱后的图像之间的异或,从而得到密文图像。执行了几个安全实验来衡量所提出算法的效率,例如密钥空间分析、相关系数分析、直方图分析、熵分析、差分攻击分析、密钥敏感性分析、鲁棒性分析、选择明文攻击分析、计算分析以及美国国家标准与技术研究院(NIST)统计测试。与许多近期算法相比,所提出的算法具有良好的安全效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6334/7824367/6cc55412a8f1/entropy-23-00057-g001.jpg

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