微型电脑应用2026，Vol.42Issue(2)：154-158,5.
基于信创体系的数据库运维异常检测方法
Anomaly Detection Method of Database Operation and Maintenance Based on Information Innovation System
摘要
Abstract
At present,the anomaly detection of database operation and maintenance mostly adopts component awareness meth-od,which is easily influenced by the importance of database communication nodes,resulting in high processing delay and low detection efficiency.Therefore,an anomaly detection method of database operation and maintenance based on information inno-vation system is proposed.On the basis of studying the trusted security mode structure of database operation and maintenance,the order change function is introduced to extract the characteristics of operation and maintenance sequence,and collects the key sequence information of database operation and maintenance according to the weight ratio of data.By combining the operation and maintenance event template and introducing activation function,the sum of all dimensions of the information data is ob-tained.The prediction error is obtained by using cross entropy function,the information characteristics of operation and main-tenance vector are matched.The operation and maintenance anomaly score is calculated by decision tree algorithm,thus,the database operation and maintenance anomaly detection is realized.The experimental results show that the proposed method can always control the anomaly detection time below 600 ms,and the average processing delay of database operation and mainte-nance anomalies is less than 6 ms,which has high detection efficiency.关键词
信创体系/数据库/异常检测/运维模版Key words
information innovation system/database/anomaly detection/operation and maintenance template分类
信息技术与安全科学引用本文复制引用
陈又咏,董昌朝,张富林,程明,冯兰贤,张歌..基于信创体系的数据库运维异常检测方法[J].微型电脑应用,2026,42(2):154-158,5.基金项目
国网信通产业集团2021年创新种子项目(546811210009) （546811210009）
