Detecting gold-farmers’ group in MMORPG by analyzing connection pattern

作者: Dong-Nam Seo , Ji-Young Woo , Kyung-Moon Woo , Chong-Kwon Kim , Huy-Kang Kim

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摘要: Security issues in online games are increasing as the game industry grows. Real money trading (RMT) by users has become a security issue several countries including Korea because RMT is related to criminal activities such laundering or tax evasion. RMT-related done professional work forces, namely gold-farmers, and many of them employ automated program, bot, gain cyber asset quick efficient way. Online companies try prevent gold-farmers using bots detection algorithm block their accounts IP addresses. However, bot can detect part gold-farmer's network address blocking also be detoured easily virtual private server spoofing. In this paper, we propose method gold-farmer groups analyzing connection patterns servers, particularly information on routing source locations. We verified that proposed reveal gold-farmers' group effectively real data from famous MMORPG.

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