基于机器学习的通信网络涉密信息感知系统设计

Design of communication network secret⁃involved information perception system based on machine learning

现有的涉密信息感知系统信息处理能力较差,对涉密信息的感知能力难以达到用户要求。为此,基于机器学习技术设计一种新的通信网络涉密信息感知系统。在机器学习技术下,系统的硬件部分主要由信息存储模块、液晶显示器模块和感知系统串口模块组成,然后通过信息采集、信息处理、信息存储和信息感知过程实现对系统软件流程的设计。为验证该系统的应用效果,在实验部分将其与现有的涉密信息感知系统进行性能对比,结果表明,基于机器学习的通信网络涉密信息感知系统有较强的信息处理能力和对涉密信息的感知能力。

The information processing abilities of the existing secret⁃involved information perception systems are poor.Moreover,their perception abilities for the secret⁃involved information are far away from meeting the requirements of users.For this reason,a new communication network secret⁃involved information perception system based on machine learning technology is designed.Under the background of the machine learning technology,the system hardware is composed of the information storage module,liquid crystal display(LCD)module and serial port module.The software flow of the system is achieved by means of the information acquisition,information processing,information storage and information perception progress.An experiment was performed to compare the performance of the proposed system with those of the existing secret⁃involved information perception systems to verify the application effect of the proposed system.The results show that the communication network secret⁃involved information perception system based on the machine learning has strong information processing ability and secret⁃involved information perception ability.