一种小波神经网络的混沌加密算法研究

The research of a chaotic encryption algorithm based on wavelet neural network

概括了小波神经网络的主要理论,将小波神经网络和混沌系统相结合,建立了一种混沌序列的生成模型,给出基于小波神经网络的混沌加密算法,最后对算法进行计算机仿真实验。结果表明小波神经网络具有更快的收敛速度和更准确的逼近能力,而基于小波神经网络的混沌加密算法具有很高的安全性。

Firstly, this paper gives the main theory of wavelet neural network, and proposes a model of chaotic series based on wavelet neural network and chaotic system. Then it gives chaotic encryption algorithm based on wavelet neural network that can get different chaotic series by varying the system initial value. According to the sort permutation and inverse permutation from the chaotic series, it can permute the plaintext to achieve ciphertext, and inverse permute the ciphertext to get the plaintext. Finally, through computer simulation, the experiment results show that wavelet neural network has faster convergent and more exact approximation. This new chaotic encryption algorithm has higher security.