摘要
针对低维混沌系统密钥空间小,安全性不强,流密码明文敏感性差等问题,提出基于七维细胞神经网络超混沌的图像加密方案.该系统密钥敏感性强,密钥空间大,加解密速度快,安全性更高.
Aimed at the problems of small key space in low - dimensional chaotic systems, weak security, stream ciphers expressly poor sensitivity and so on, an image encryption scheme based on seven dimensional cellular neural network hyperchaos is proposed. The system has strong key sensitivity, large key space, fast The algorithm is simple and easy to implement. encryption and decryption, more security.
作者
朱艳平
Zhu Yanping(Xinyang Agriculture and Forestry Universit)
出处
《哈尔滨师范大学自然科学学报》
CAS
2016年第3期24-28,共5页
Natural Science Journal of Harbin Normal University
基金
河南省教育厅高等学校重点科研项目资助(15A520095
教科技〔2015〕95号)
关键词
七维细胞神经网络
超混沌
图像加密
密码攻击
Seven Dimensional Cellular Neural Network
Hyperchaotic
Image Encryption
PasswordAttack
