The research of classified method of the network traffic in security access platform based on decision tree

Information security access platform is a core security practices of foundation to construct security access platform system of smart grid, and undertake a various important function of real-time monitoring, security access, secure data transmission and exchange, active defense in all kinds of complex network environments. However, the monitoring of network traffic classification is directly related to the electric power information network in smart grid environment has a far-reaching significance; this page is showing aiming at the problem of instability in traditional traffic classification methods, a traffic classification method based on C4.5 decision tree is proposed, which establishes models on the information gain ratio from the training set. Classifier is tested by attributes on test dataset, as well as network traffic is classified by searching classification models; Experiments show that the overall accuracy of our method achieves more than 93% , and the accuracy signal class is more than 90% on open dataset. So the method is effective for classifying various kinds of traffic.