Research on Online Game Traffic Classification Based on Machine Learning

摘要

This paper summarizes online game flow attributes by observing a great number of game data packets and computes their flow feature using Python programming language. Furthermore, we investigate several machine learning algorithms to classify five different online games automatically and correctly, that provide the average accuracy is over 80%. The test results show that machine learning has the better performance than the tradition method in classifying online game traffic.