In recent years, the research on analyzing the users' network behavior has attracted much attention. In this paper, we study the problem of identifying users' network behavior categories. The research is based on a dataset that consists of 220 thousand network packets, with which we extract the statistical features needed for the identifications. We propose the identifying algorithm, and we also apply the algorithm to make categories identification on the network dataset. The results show the presented work can achieve very high accuracy.