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An automatic and proactive identity theft detection model in MMORPGs |
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PP: 291S-302S |
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Author(s) |
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Jiyoung Woo et al,
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Abstract |
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| Identity theft happens frequently, especially in popular multiplayer games where cyberassets
can be monetized. In this work, we propose an automatic and proactive identity theft detection
model in online games. We specify the identity theft process into exploration, monetization, and theft
and pose identity theft detection as a multi-class classification problem. We propose an automatic and
proactive detection model utilizing rich features, along with appropriate problem-specific domain
knowledge regarding the unique properties of identity theft. The proposed model based on process
specification and automatic learning will reduce financial losses to game users and game companies
through early detection.
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