Abstract
There are many different game genres such as MMORPG, FPS, racing games, sports games and mobile games in the online game market. Various forms of security threats exist on the game market. Among the security threats, the use of game bot can cause great damage to the game service. The security threats make that game user lose interest in playing. Also due to the security threats, the cycles of the game could be reduced. The security threats cause baleful influences such as a weakened confidence, pecuniary damage to the game operator. In this paper, we analyzed a special feature of FPS game bot through Point Blank. On the basis of the outcome of the analysis, we composed an analysis method for FPS game bot detection. Because behavioral patterns of game bot user are different with that of normal users, we set the threshold value by analyzing the behavior of game bot user for game bot detection. By applying FPS game bot detection framework proposed in this paper, we could extract the game bot users five times more than game bot user extracted via the commercial bot detection tool and publisher policy.
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Han, M.L., Park, J.K., Kim, H.K. (2015). Online Game Bot Detection in FPS Game. In: Handa, H., Ishibuchi, H., Ong, YS., Tan, KC. (eds) Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems - Volume 2. Proceedings in Adaptation, Learning and Optimization, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-13356-0_38
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DOI: https://doi.org/10.1007/978-3-319-13356-0_38
Publisher Name: Springer, Cham
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