Situation identification method of power communication network security based on data mining
In order to solve the problems of long identification time and low efficiency of the ex-isting power communication network security situation identification method,the power com-munication network security situation identification method based on data mining is proposed.First,the SVM algorithm is used to collect the random sample data of power communication network security and classify the data.Secondly,the data mining technology is used to mine the multi-step attack sequence and realize the clustering of anomalous data.Finally,the security situ-ation is divided into three levels:safety,general danger and danger,and the security situation of the power communication network is identified by combining with the danger value calculation results.According to the experimental results,the new identification method has shorter identi-fication time and higher identification efficiency in the application,which is worthy of wide ap-plication and promotion.
data miningcommunication networksecurity situationabnormal data
万方数据
维普
