关键词: 破网行为，流量分类，支持向量机

Abstract: It has happened that someone broke through the Internet filtering and visited the forbidden information on the abroad website in recent years. It has great realistic significance for us to study and control that behavior. Flow classifi- canon technology has always been the research hotspots in the foreign and domestic network measurement direction and we has already obtained very good results in P2P detection area. This document applies the support vector machine tech- nology in the flow classification area to behavior detection of the Frecgate which is a special software used to break the Internet. The results from the tests show that this method has high detection rate on the flow caused by the behavior of breaking Internet and provides a new line of thinking on monitoring the behavior of breaking Internet effectively.

Key words: Behavior of breaking Internet, Flow classification, Support vector machine