基于神经网络的并行混沌数据安全加密系统设计

Design of parallel chaotic data secure encryption system based on neural network

为解决并行混沌数据加密处理行为不可控问题,实现对网络加密信息的安全传输,设计基于神经网络的并行混沌数据安全加密系统。根据BP神经网络的实际拓扑形式,按需连接加密处理模块与数据读写接口模块,完成基于神经网络的加密系统硬件执行环境搭建。在此基础上,定义混沌映射关系,通过认证数据并行身份的处理方式,完善加密执行流程,实现应用系统软件执行环境搭建。结合各级硬件设备结构体系,完成基于神经网络的并行混沌数据安全加密系统设计。实验结果显示,与基于参数优化的应用系统相比,在神经网络作用下,主机元件表现出的内存占比率与混合占比率数值更贴近理想数值水平,不但解决了数据加密行为不可控问题,也实现了对网络加密信息的安全传输与处理。

In order to eliminate the uncontrollability of processing behavior of the parallel chaotic data encryption and realize the safe transmission of network encrypted information,a parallel chaotic data security encryption system based on neural network is designed.According to the actual topology form of BP neural network,the encryption processing module is connected with the data read⁃write interface module as needed to construct the hardware execution environment of encryption system based on the neural network.On this basis,the chaotic mapping relationship is defined,the parallel identity of data is authenticated,and the encryption execution process is improved,so as to build the software execution environment of the application system.The parallel chaotic data security encryption system based on neural network is designed in combination with the hardware structure system at all levels.The experimental results show that,in comparison with the application system based on parameter optimization,the memory occupancy ratio and mixed occupancy ratio representing on host components under the action of neural network are closer to the ideal values.Therefore,the designed system can not only solve the problem of uncontrollable data encryption behavior,but also realize the safe transmission and processing of network encrypted information.