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An improved method for image encryption based on high level chaotic maps and improved gravity model

机译:基于高级混沌映射和改进重力模型的图像加密改进方法

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Image encryption field has motivated many researchers, recently and too many studies held by them. We propose a high dependency method the original image and parameter G. Moreover, we use a new simple chaotic map with bigger Lyapunov exponents and so stronger chaotic behaviour, against which one used by Xing-yuan Wang et al, in diffusion phase. In permutation phase, known chaotic map “Cross map”, used for pixel shuffling. The proposed diffusion phase implies desirable uniformly distributation in color histogram of encrypted image and makes the scheme robust against statistical attacks. Furthermore, creating secret keys in a large size and high sensitivity to the original image leads to acceptable results in the average of NPCR (99.67), UACI (33.50), and resistance against brute-force attack. The experimental results prove that the image encryption scheme has the characteristics of secure encryption algorithm such as, large key space, high security and high sensitivity.
机译:图像加密领域激励了许多研究人员,最近,他们进行了太多的研究。我们提出了一种原始图像和参数G的高相关性方法。此外,我们使用了一个新的简单混沌映射,该映射具有更大的Lyapunov指数和更强的混沌行为,王星元等人在扩散阶段针对该混沌映射进行了研究。在置换阶段,已知的混沌映射“ Cross map”用于像素混洗。拟议的扩散阶段意味着加密图像的颜色直方图中理想的均匀分布,并使该方案对统计攻击具有鲁棒性。此外,创建大尺寸且对原始图像具有高灵敏度的秘密密钥可以使NPCR(99.67),UACI(33.50)的平均值和对蛮力攻击的抵抗力均达到可接受的结果。实验结果表明,该图像加密方案具有密钥空间大,安全性高,灵敏度高等安全加密算法的特点。

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