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並列摘要


In this paper, we investigate approaches to detect cheating with game bots in Massively Multiplayer Online Role-playing Games (MMORPGs).Cheating with game bots which can auto-play online games without human involvement is a big threat to the industry of MMORPGs. The proposed approach can detect game bots through analysis of encrypted game traffic. In the proposed detection, hidden Markov models (HMMs), known for their power in temporal pattern recognition, are trained to model game bots' gaming behaviors. A detection decision is made by testing a game trace of interest against trained HMMs. We evaluate the proposed detection approach with game traces collected from the Internet. Our experiment results show that the proposed detection can detect game bots accurately with only a small number of training traces.

並列關鍵字

Game bot HMM MMORPG

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