Abstract
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.
Original language | English |
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Pages (from-to) | 291S-302S |
Journal | Applied Mathematics and Information Sciences |
Volume | 6 |
Issue number | 1 SUPPL. |
Publication status | Published - 2012 Jan |
Keywords
- Identity theft detection
- Mmorpg
- Multi-class classification
- Online game security
ASJC Scopus subject areas
- Analysis
- Numerical Analysis
- Computer Science Applications
- Computational Theory and Mathematics
- Applied Mathematics