An automatic and proactive identity theft detection model in MMORPGs

Jiyoung Woo, Hwa Jae Choi, Huy Kang Kim

Research output: Contribution to journalArticle

10 Citations (Scopus)

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 languageEnglish
JournalApplied Mathematics and Information Sciences
Volume6
Issue number1 SUPPL.
Publication statusPublished - 2012 Jan 1

Keywords

  • Identity theft detection
  • Mmorpg
  • Multi-class classification
  • Online game security

ASJC Scopus subject areas

  • Applied Mathematics
  • Numerical Analysis
  • Analysis
  • Computer Science Applications
  • Computational Theory and Mathematics

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