基于信创体系的数据库运维异常检测方法OA

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.