基于大数据视角的电力网络安全主动式风险预警系统设计

Design of Active Risk Early Warning System for Power Network Security Based on the Perspective of Big Data

从大数据视角设计电力网络安全主动式风险预警系统,运用大数据技术对电网系统中的各种数据进行分析和处理,挖掘其中隐藏的安全风险和隐患,并及时采取相应的措施进行预警和预防,实现电力网络安全的主动式风险预警和管理。文章采用安全外壳协议(Secure Shell,SSH)、简单网络管理协议(Simple Network Management Protocol,SNMP)等多种采集协议对电力网络内部信息资源进行有效的监控,并使用Sqoop将文件传输到数据库,通过预警分析模块、决策辅助模块的联合作用,实现主动风险预警。

A active risk early warning system for power network security is designed from the perspective of big data.Various data in the power network system are analyzed and processed by using big data technology,and hidden security risks and hidden dangers are excavated,and corresponding measures are taken in time for early warning and prevention,so as to realize active risk early warning and management for power network security.In this paper,Secure Shell(SSH),Simple Network Management Protocol(SNMP)and other collection protocols are used to effectively monitor the internal information resources of the power network,and Sqoop is used to transfer files to the database,so as to realize active risk early warning through the joint action of early warning analysis module and decision support module.