基于Henon Map的像素置乱中流和块图像加密算法的结合

Araz Rajab Ibrahim
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摘要

近年来,通过开放网络发送数码照片已经成为一个严重的隐私问题。遗憾的是,尽管环境的适用性和巨大的好处,仍然存在许多隐私和安全风险。本文提出了一种新的图像加密技术,该技术基于二维hsamnon映射,使用两次生成混淆和扩散所需的随机序列。二维hsamnon map初始随机序列密钥用于在混淆阶段对图像的每个块中的像素进行流置乱。在扩散阶段,在三重异或结构中使用第二个随机序列密钥来改变像素位置并创建加密图像。实验结果表明,该方法解决了传统加密方法存在的问题。该方法计算成本低,在许多安全测试中表现较好。由于其大小,密钥空间无法防止暴力攻击。加密图像的直方图不同于原始图像,并且是均匀间隔的。相关测试的结果显示相邻像素之间没有相关性。建议的算法对键值敏感,即使很小的变化也会导致不同的图像。因此,开放网络上的实时图像加密应用非常适合这种新方法。
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Combination of Stream and Block Image Encryption Algorithms in Pixel Scrambling Using Henon Map
In recent years, sending digital photos over open networks has become a serious privacy concern. Sadly, there are a lot of privacy and security risks present despite the environment's suitability and great benefits. The novel image encryption technique proposed in this paper is based on the two-dimensional Hénon map, which is used twice to produce the random sequences required for confusion and diffusion. The 2-D Hénon map initial random sequence key is used to stream-scramble the pixels in each and every block of the image during the confusion stage. At the diffusion stage, the second random sequence key is used in a triple XOR structure to change the pixel positions and create an encrypted image. The experiments' findings show that the suggested approach fixes the problems with traditional encryption methods. The proposed method costs less to compute and performs better on many security tests. Because of its size, the key space cannot be protected from brute-force attacks. The histogram of the encrypted image differs from the original image and is evenly spaced. The results of the correlation test reveal no correlation between the adjacent pixels. The suggested algorithm is sensitive to the key value, and even small changes result in a different image. Therefore, real-time image encryption applications over open networks are appropriate for the novel approach.
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