摘要
针对低维混沌安全性差、高维混沌加密效率低的问题,提出基于细胞神经网络和猫映射的视频加密算法.算法选取七维细胞神经网络超混沌系统作为密钥源,首先对明文视频进行猫映射置乱加密,再对置乱后的视频进行替代加密.超混沌系统的初始值与明文有关,视频预处理的视频帧大小、猫映射的模板参数和置乱次数均由明文和加密密钥决定.实验结果表明,算法在加密效果、密钥敏感性和明文敏感性等方面的性能表现良好,安全性高,实用性强.
Aiming at the low security of low dimensional chaos and the low encryption efficiency of high-dimensional chaotic,the video encryption algorithm based on cellular neural network and cat mapping is proposed.The algorithm selects the hyper chaotic system of seven dimensional cellular neural networks as the key source.First,the plaintext video is scrambled by the cat mapping,and then the scrambled video is replaced and encrypted.The initial value of the hyper chaotic system is related to the plaintext.The video frame size,the template parameters of the cat mapping and the number of scrambling are determined by the plaintext and the encryption key.The experimental results show that the algorithm performs well in encryption effect,key sensitivity and plaintext sensitivity etc.,and has high security and practicability.
作者
朱艳平
ZHU Yanping(Information Engineering College, Xinyang College of Agriculture and Forestry, Xinyang, Henan 464000, China)
出处
《宜宾学院学报》
2018年第12期6-9,共4页
Journal of Yibin University
基金
河南省科技厅科技攻关计划项目(172102210451)
河南省科技厅科技攻关计划项目(172102210450)
关键词
猫映射
细胞神经网络
混沌
视频加密
安全性
cat mapping
cellular neural network
chaos
video encryption
security