A hybrid intrusion identification method based on multi-node cooperation in power network shooting range is studied to improve the defense capability of power network against hybrid intrusion behavior.Based on hierarchical collabo-rative structure of multi-node cooperative,set up the electric power network as perception communication node within the range training platform,using the data from the mixed aware of node invasion will perceive the results sent to the center of the power network range training platform node,using data fusion hybrid intrusion awareness center node form aggregation node.The aggregation node of the collaborative fusion layer sends the collaborative fusion results to the recognition layer,which uses the hybrid intrusion recognition module to cluster the hybrid intrusion data according to the K-means clustering algorithm,constructs the C4.5 decision tree,and uses the decision tree to output the hybrid intrusion recognition results of the power network range.The experimental results show that the method can accurately identify the hybrid intrusion behav-ior of power network range,and the recognition accuracy is higher than 98％.
multi-node collaborationpower network rangehybrid intrusionidentification methodK-means clusteringC4.5 decision tree
万方数据
维普
