基于超混沌系统的明文关联图像加密算法

摘 要：随着计算机网络与多媒体技术的快速发展，数字图像传输的安全性问题显得越发 突出。为此，提出了一种基于超混沌的明文关联图像加密算法，利用动力学更为复杂的超混沌 系统作为混沌序列发生器扩大了密钥空间，采用扩散–置乱–扩散的加密框架对图像进行 3 阶段 处理。其中深度扩散使用了更少的迭代次数，提高了效率，置乱算法通过扰乱图像中像素点的 位置实现消除原图像中相邻像素点间的相关性。实验对密钥空间大小、算法效率、防明文攻击 能力进行了分析和对比，仿真结果表明，该算法不仅具有更大的密钥空间，较高的运行效率， 而且明文敏感性强，能够有效抵抗差分攻击，有很大的安全通信应用潜力。 

Plaintext correlation image encryption algorithm based on hyper-chaotic system

Abstract: With the rapid development of computer networks and multimedia technologies, the security problem of digital image transmission has become increasingly salient. A hyper-chaotic encryption algorithm was proposed for plaintext associated images. The algorithm employed hyper-chaotic systems with more complex dynamics as a chaotic sequence generator, expanded the key space, and utilized a diffusion-scrambling-diffusion encryption framework. The method performed three-stage processing on the image, of which the depth diffusion improved efficiency using fewer iterations. The scrambling algorithm eliminated the correlation between adjacent pixels in the original image by disturbing the pixel positions. The experiment analyzed and compared the key space size, algorithm efficiency, and anti-plaintext attack capability. The simulation results show that the algorithm has not only larger key space and higher operating efficiency, but also strong plaintext sensitivity, thus effectively resisting differential attacks with great potential for secure communication applications.