基于CNN超混沌的视频加密新算法  

On a New Video Encryption Algorithm Based on CNN Hyperchaos

作　　者：朱艳平[1] 

机构地区：[1]信阳农林学院信息工程学院,河南信阳464000

出　　处：《西南师范大学学报（自然科学版）》2016年第9期113-119,共7页Journal of Southwest China Normal University(Natural Science Edition)

基　　金：河南省教育厅高等学校重点科研项目(15A520095)

摘　　要：针对视频数据实时性高,数据量大等特点,提出了一种基于细胞神经网络的视频加密新算法.该算法以五维CNN作为密钥源,根据明文视频帧的尺寸和明文视频帧本身来选择加密密钥,依据扩散思想,对视频进行加密处理.该算法加/解密速度快,可对任何格式的视频数据实现保密通信,具备通用性,且密钥敏感性和明文敏感性强,密钥空间大,可有效抵抗穷举攻击、统计分析攻击、已知明文攻击、选择明文攻击和密文攻击,安全性更高,具有一定的实用价值.Aiming at video data high real-time performance, the characteristics of large amount of data, proposed a new video encryption algorithm based on cellular neural network. In the algorithm,five dimensional CNN hyperchaotic system have been used as key source, according to the plaintext video frame size and the plaintext video frame itself, selected the encryption key, based on diffusion theory, encrypted video. The encryption and decryption speed of the algorithm is fast, any format video data can achieve secure communications, has universality; the key sensitivity and plaintext sensitivity are strong, the key space is large. Can effectively resist brute attack, statistical attack, known plaintext attack, chosen plaintext attack and cipher text attack, has higher security and a certain practical value.

关 键 词：细胞神经网络 超混沌 视频加密 密码攻击 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]