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저자 Sang-Hyun Park, Moohong Min, Sung-Woo Bang, Jee-Hyong Lee 
학회명 The 7th International Conference on Ubiquitous Robots and Ambient Intelligence 
학회명 (약자) URAI 2010 
pp.  
학회시작일 2010-11-14 
학회종료일 2010-11-27 
비고  
Game industry, especially MMORPG(Massively Multiplayer Online Role Playing Game) has been rapidly expanding in these days. But at the same time, lots of online game security incidents have been increasing and getting more diverse. One of the most critical security
incidents is ‘Game Bots’, which are programs to play MMORPG instead of human players. If players let a game Bot play for them, they can get a lot of benefic game elements (experience points, items, etc.) without any effort, and it is considered unfair to other players. Plenty of game companies try to prevent Bots, but it does not work well. In this paper, we propose a behavior pattern model for detecting Bots. We analyzed behaviors of human players as well as Bots and identified three features to build the model to differentiate Bots from human players. Based on these features, we can construct a solution which can detect Bots.

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