CNN超混沌系统伪随机序列发生器设计  

Design of Pseudo-Random Sequence Generator Based on CNN Hyperchaotic System

作　　者：张琴 林达 许理 

机构地区：[1]四川理工学院自动化与信息工程学院,四川自贡643000

出　　处：《四川理工学院学报（自然科学版）》2017年第5期57-62,共6页Journal of Sichuan University of Science & Engineering(Natural Science Edition)

基　　金：国家自然科学基金项目(61640223);人工智能四川省重点实验室开放基金(2016RZJ02)

摘　　要：基于CNN超混沌系统,设计了一种混沌伪随机序列发生器。通过对细胞神经网络系统的理论分析及仿真实验可知,该系统具有复杂的动力学特性,具有初值敏感性、密钥空间大等特点,非常适合作为伪随机序列发生器。基于该系统的发生器能够产生两种不同的序列,一种为二进制序列,另一种为十进制序列,并且通过该发生器产生的伪随机序列具有良好的性能,如序列值的均匀分布性、尖锐的自相关特性和良好的互相关特性。除此之外,利用NIST标准对序列发生器进行性能检验,检验结果表明该序列满足伪随机序列的要求,具有较高的安全性和保密性,具有较好的应用前景。A design of pseudo random sequence generator is proposed based on CNN hyperchaotic system. Theory analysis and simulation show that the cellular neural network is good with complex dynamic characteristics,such as great sensitivity to initial values,large key space,which is quite adequate to be the pseudo random sequence generator. This generator based on hyperchaotic system can generate two different sequences,one is the binary and the other is decimal,and the sequence is good with performence such as uniform distribution,sharp autocorrelation characteristics and good cross-correlation. Furthermore,the generated pseudo random sequence passed NIST test successfully. It is good in practical applications.

关 键 词：超混沌 细胞神经网络 伪随机序列发生器 

分 类 号：TN918[电子电信—通信与信息系统]