Multimodal game bot detection using user behavioral characteristics
نویسندگان
چکیده
As the online service industry has continued to grow, illegal activities in the online world have drastically increased and become more diverse. Most illegal activities occur continuously because cyber assets, such as game items and cyber money in online games, can be monetized into real currency. The aim of this study is to detect game bots in a massively multiplayer online role playing game (MMORPG). We observed the behavioral characteristics of game bots and found that they execute repetitive tasks associated with gold farming and real money trading. We propose a game bot detection method based on user behavioral characteristics. The method of this paper was applied to real data provided by a major MMORPG company. Detection accuracy rate increased to 96.06 % on the banned account list.
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1389-1286/$ see front matter 2012 Elsevier B.V http://dx.doi.org/10.1016/j.comnet.2012.10.005 ⇑ Corresponding author. Tel.: +1 917 698 5015. E-mail addresses: [email protected] (Z. Chu (S. Gianvecchio), [email protected] (A. Koeh (H. Wang), [email protected] (S. Jajodia). Blog bots are automated scripts or programs that post comments to blog sites, often including spam or other malicious links. An e...
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