As the online service industry has continued to grow, illegal activities inthe online world have drastically increased and become more diverse. Mostillegal activities occur continuously because cyber assets, such as game itemsand cyber money in online games, can be monetized into real currency. The aimof this study is to detect game bots in a Massively Multiplayer Online RolePlaying Game (MMORPG). We observed the behavioral characteristics of game botsand found that they execute repetitive tasks associated with gold farming andreal money trading. We propose a game bot detection methodology based on userbehavioral characteristics. The methodology of this paper was applied to realdata provided by a major MMORPG company. Detection accuracy rate increased to96.06% on the banned account list.
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