基于大数据的电力监控系统网络安全监测系统设计

为了保证电力监控系统网络的运行安全，解决传统网络安全监测系统存在的监测精度低、适配性差的问题，应用大数据处理技术实现对系统网络安全监测系统的优化设计。安装大数据分析处理器、网络路由处理器，并改装系统存储器、显示器和连接电路，完成对系统硬件设备的优化。构建系统数据库，并在硬件设备和数据的支持下，分析电力监控系统网络的运行模式，并利用大数据技术收集并处理实时网络数据。最终从网络流量和入侵攻击2个方面实现网络安全监测功能。通过系统测试实验得出结论:与传统的系统网络安全监测系统相比，设计系统在流量和攻击次数2个方面的监测精度分别提高了0.19 Kbit/s和1.12次，且在适配性方面更加具有优势。

Design of network security monitoring system of power monitoring system based on big data

In order to ensure operation safety of power monitoring system network and solve problems of low monitoring accuracy and poor adaptability of the traditional network security monitoring system,the big data processing technology is applied to realize optimal design of system network security monitoring system.Install big data analysis processor and network routing processor,refit system memory,display and connecting circuit,and complete optimization of system hardware equipment.To build the system database,analyze operation mode of power monitoring system network with the support of hardware equipment and data,and use big data technology to collect and process real-time network data.Finally,the network security monitoring function is realized from two aspects:network traffic and intrusion attack.Through the system test experiment,it is concluded that compared with the traditional network security monitoring system,the monitoring accuracy of the designed system in terms of traffic and attack times is improved by 0.19 Kbit/s and 1.12 times respectively,and has more advantages in adaptability.