摘要
传统预测信息系统安全态势的方法为广义神经网络方法,此种方法存在误差高、实时性差等问题。提出基于数据挖掘的信息系统安全态势评估方法。态势评估是检测信息系统安全性最为重要的措施之一,可以为管理人员提供电力系统安全状态信息。管理人员以此获取系统中的异常问题,从而采取针对性的措施提升系统的安全性能。
The traditional method of forecasting information system security situation is the generalized neural network method,which has the problems of high error and poor real-time performance.A method of information system security situation assessment based on data mining is proposed.Situation assessment is one of the most important measures to detect the security of information system.It can provide information of power system security status for managers.Managers use this to get abnormal problems in the system,so as to take targeted measures to improve the security performance of the system.
作者
李燕
李策
冯丽丽
LI Yan;LI Ce;FENG Lili(State Grid Gansu Provincial Electric Power Company,Information and Communication Company,Gansu 730050,China)
出处
《集成电路应用》
2019年第6期71-73,共3页
Application of IC
基金
甘肃电网电力系统科技创新课题项目
关键词
数据挖掘
电力工程
信息系统
网络安全
态势评估
data mining
power engineering
information system
network security
situation assessment
