An image encryption based on confusion-diffusion using two chaotic maps and Frobenius endomorphism

IF 1 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC SAIEE Africa Research Journal Pub Date : 2023-11-15 DOI:10.23919/SAIEE.2023.10319378
Asmaa Hilmi;Soufiane Mezroui;Ahmed El Oualkadi
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Abstract

The chaotic map including 2D-Henon and Tent maps, have been widely used in modern cryptography, due to its high level of security and low cost of computation, compared to traditional algorithms. This study suggests a method for sharing images that are dependent on both confusion and diffusion for securing a gray-scale image. First, a new perturbation method of pixels based on Henon map to generate the permutation matrix for scrambling the plain image is proposed. The confused image should be encrypted, in which we combine the Frobenius endomorphism and Tent chaotic map to generate a key encryption. Using the eXclusive-OR operation, the substitution process is realized between the key encryption and confused image. The simulation results of the proposed scheme maintain a lossless encryption quality, and the security analysis, which includes differential attack entropy, correlation coefficient, and histogram analysis illustrate that the proposed approach reveals a high performance.
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基于两个混沌映射和Frobenius自同态的混沌扩散图像加密
混沌映射包括2D-Henon和Tent映射,与传统算法相比,由于其高安全性和低计算成本,在现代密码学中得到了广泛的应用。本研究提出了一种共享图像的方法,该方法既依赖于混淆,也依赖于扩散,以确保灰度图像。首先,提出了一种新的基于Henon映射的像素摄动方法,用于生成排列矩阵对平面图像进行置乱。对混乱的图像进行加密,我们结合Frobenius自同态和Tent混沌映射生成密钥加密。利用异或运算,实现密钥加密与混淆图像之间的替换过程。仿真结果表明,该方案保持了无损的加密质量,并对差分攻击熵、相关系数和直方图分析进行了安全性分析,结果表明该方案具有较高的性能。
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来源期刊
SAIEE Africa Research Journal
SAIEE Africa Research Journal ENGINEERING, ELECTRICAL & ELECTRONIC-
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