基于人工图像和复杂物流映射的图像加密算法

Jinbo Wu, Zhe Huang, Fangfang Zhang, Lei Kou, Chang Chun Pan, Huan Ye, Dong Wang, Peikun Zhang
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引用次数: 0

摘要

由于图像传输信息的直观性,图像的应用可以无处不在,相应地,图像信息的安全性也变得更加重要。混沌由于其初始值的敏感性、随机性等特点与密码学兼容,在图像加密中得到了广泛的应用。本文基于人工图像和二维滞后复杂物流映射(2D- lclm),提出了一种新的图像加密算法。首先,利用2D-LCLM生成的伪随机序列构建人工图像;人工图像可以代替传统的迭代加密机制。其次,采用混沌序列对原始图像和人工图像进行定位。最后,使用DNA异或操作将两幅图像合并。实验模拟了标准测试图,通过分析可知基于人工图像的加密算法具有良好的加密效果和安全性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Image Encryption Algorithm Based on Artificial Images and Complex Logistics Mapping
Due to the intuitiveness of image transmission information, the application of images can be ubiquitous, correspondingly, the security of image information has become more significant. As chaos is compatible with cryptography due to some of its characteristics such as sensitivity of initial values, randomness, etc., it is extensively used in image encryption. In this paper, based on artificial images and 2D lagging complex Logistics mapping (2D-LCLM), a novel image encryption algorithm was proposed. Firstly, the pseudorandom sequences generated by 2D-LCLM is used to construct an artificial image. Artificial images can replace the traditional iterative encryption mechanism. Secondly, adopt chaotic sequences to position the original and artificial images. Finally, DNA XOR manipulation is used to merge the two images. Experimental simulation of the standard test graph, through the analysis we can know the encryption algorithm based on artificial image has good encryption effect and security performance.
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