关键词: 游戏流识别, 统计特征, 互联网协议（IP）过滤, 支持向量机（SVM）

Abstract: The online games develop rapidly around the world and its number of users is still increasing. To analyze the characteristics of game traffic is of great importance. Wireshark is used to collect game traffic of different types, including Massive Multiplayer Online Role Playing Game（MMORPG）, First Person Shooting（FPS）, Real-Time Strategy（RTS）and cards, in order to study the recognition of game traffic. Then it filters the data with transport protocol and IP subnet and analyzes a number of statistical features for both upstream and downstream game traffic. Some features are effective for recognizing different game applications, including PPS, entropy of packet size and proportion of inbound to outbound data packets. Experimental results show that higher recognition accuracy can be obtained with the proposed feature combination and IP filtering.

Key words: classification of game traffic, statistical features, Internet Protocol（IP） filtering, Support Vector Machine（SVM）