Younas Irfan, Khan Majid
Department of Mathematics, Quaid-i-Azam University, Islamabad 44000, Pakistan.
Department of Applied Mathematics and Statistics, Institute of Space Technology Islamabad, Islamabad 44000, Pakistan.
Entropy (Basel). 2018 Nov 30;20(12):913. doi: 10.3390/e20120913.
In this research article, we propose a new structure namely inverse left almost semigroup (LA-semigroup) by adding confusion in our proposed image encryption scheme along with discrete and continuous chaotic systems in order to complement the diffusion characteristics. The performance analysis was conducted in terms of the correlation analysis, the pixels uniformity analysis, the sensitivity analysis, the information entropy analysis, and pixels difference based measurements. The results show that the proposed algorithm has better information security properties, which can provide strong security and a high performance.
在这篇研究文章中,我们提出了一种新的结构,即逆左几乎半群(LA - 半群),通过在我们提出的图像加密方案中引入混淆,并结合离散和连续混沌系统,以补充扩散特性。从相关性分析、像素均匀性分析、敏感性分析、信息熵分析以及基于像素差异的测量等方面进行了性能分析。结果表明,所提出的算法具有更好的信息安全特性,能够提供强大的安全性和高性能。