基于数据挖掘的服务器日志预警方法研究  

Study on the Early Warning Method of Server Log Based on Data Mining

作　　者：王栋 张云龙[1] 唐琨[1] WANG Dong;ZHANG Yun-long;TANG Kun(Northwest Institute of Mechanical&Electrical Engineering,Xianyang 712000,China)

机构地区：[1]西北机电工程研究所

出　　处：《价值工程》2020年第2期222-223,共2页Value Engineering

摘　　要：本文通过介绍服务器日志的内涵、特点、用途以及当前日志分析方式的现状和存在的问题,分析了常用系统日志分析方法的优缺点和存在问题,提出了一种基于KNN算法改进型文本挖掘方法,并以此为基础设计了服务器日志安全预警系统架构,为服务器系统的安全监管提供了一种可行的解决方案。This paper introduces the connotation,characteristics,use of server logs,and the current status and problems of current log analysis methods.It analyzes the advantages and disadvantages and existing problems of common system log analysis methods,and proposes an improved text mining method based on KNN,and designs a server log security early warning system architecture is designed based on this,which provides a feasible solution for the security supervision of the server system.

关 键 词：服务器日志 数据挖掘 KNN算法 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]