• Title/Summary/Keyword: spoofing detection

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Detecting gold-farmers' group in MMORPG by analyzing connection pattern (연결패턴 정보 분석을 통한 온라인 게임 내 불량사용자 그룹 탐지에 관한 연구)

  • Seo, Dong-Nam;Woo, Ji-Young;Woo, Kyung-Moon;Kim, Chong-Kwon;Kim, Huy-Kang
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.3
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    • pp.585-600
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    • 2012
  • Security issues in online games are increasing as the online game industry grows. Real money trading (RMT) by online game users has become a security issue in several countries including Korea because RMT is related to criminal activities such as money laundering or tax evasion. RMT-related activities are done by professional work forces, namely gold-farmers, and many of them employ the automated program, bot, to gain cyber asset in a quick and efficient way. Online game companies try to prevent the activities of gold-farmers using game bots detection algorithm and block their accounts or IP addresses. However, game bot detection algorithm can detect a part of gold-farmer's network and IP address blocking also can be detoured easily by using the virtual private server or IP spoofing. In this paper, we propose a method to detect gold-farmer groups by analyzing their connection patterns to the online game servers, particularly information on their routing and source locations. We verified that the proposed method can reveal gold-farmers' group effectively by analyzing real data from the famous MMORPG.