An automatic and proactive identity theft detection model in MMORPGs
- Authors
- Woo, Jiyoung; Choi, Hwa Jae; Kim, Huy Kang
- Issue Date
- 1월-2012
- Publisher
- NATURAL SCIENCES PUBLISHING CORP-NSP
- Keywords
- Identity theft detection; multi-class classification; online game security; MMORPG
- Citation
- APPLIED MATHEMATICS & INFORMATION SCIENCES, v.6, pp.291 - 302
- Indexed
- SCIE
SCOPUS
- Journal Title
- APPLIED MATHEMATICS & INFORMATION SCIENCES
- Volume
- 6
- Start Page
- 291
- End Page
- 302
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/109200
- ISSN
- 1935-0090
- Abstract
- Identity theft happens frequently, especially in popular multiplayer games where cyber-assets 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.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - School of Cyber Security > Department of Information Security > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.