混沌键控视频加密方案研究

针对流式加密阻碍加密系统并行化的实现,以及混沌序列随机特性不强等问题,提出基于混沌键控的视频加密方案.该方案选用三维洛伦兹系统、四维陈系统和四维细胞神经网络系统作为备选密钥源,由明文视频帧本身来决定密钥源系统及其初始条件,并对生成的混沌序列进行优化和映射,以提高其随机序列特性.最后遵循扩散和混淆的原则,对视频信息进行加密.每一个像素的加密值均与明文视频帧、加密密钥和前两个像素的加密值相关.该加密方案可采用多通道同时对视频信息进行加解密,平衡了密钥空间和加密效率的关系,可满足视频加密的实时性要求;密钥敏感性和明文敏感性强;统计特性完全被打破;具有良好的抗噪性.可有效地抵抗密码分析攻击,安全性高,实用性强.

Chaotic keying video encryption scheme research

Given that streaming encryption impedes the implementation of encryption system parallelization, and the random characteristic of the chaotic sequence is not strong, the present study proposes a video encryption scheme based on chaotic keying. The scheme used Lorenz, Chen and Cellular Neural Network system as key source, plaintext video frame itself decided key source system and its initial value, and optimized and mapped the generated chaotic sequence to improve the random properties. Finally, according to the principle of diffusion and confusion, the video information was encrypted. Plain-text video frame, encryption key and first two pixels encryption values decide each pixel encryption value. The encryption scheme can adopt multi-channel to encrypt and decrypt video information at the same time, and balance the relationship between the key space and the encryption efficiency, and also can meet the real-time requirements of video encryption. Key sensitivity and plaintext sensitivity are strong; statistical properties are completely broken; has good noise immunity. Can effectively resist cryptanalysis attacks, security is higher and practicability is stronger.