Game Traffic Classification Based on DNS Domain Name Resolution

摘要

The accurate classification of network game traffic is the technical basis for the campus network resources and the refined management of student learning behavior. This article first uses DNS reverse resolution to capture the domain name characteristics of the captured network game traffic, uses the domain name feature to mark the game traffic, and builds the network game feature data set. Then, the network game data set is used to train the decision tree CART to optimize the classification model parameters. Finally, the optimized classification model is tested with Moore standard data set and this data set, respectively. The results show that the accuracy of network game traffic classification based on DNS domain name resolution can reach 94%, and its classification performance is better than Moore data set.