Crime Scene Reconstruction: Online Gold Farming Network Analysis

Many online games have their own ecosystems, where players can purchase in-game assets using game money. Players can obtain game money through active participation or "real money trading" through official channels: converting real money into game money. The unofficial market for real money trading gave rise to gold farming groups (GFGs), a phenomenon with serious impact in the cyber and real worlds. GFGs in massively multiplayer online role-playing games (MMORPGs) are some of the most interesting underground cyber economies because of the massive nature of the game. To detect GFGs, there have been various studies using behavioral traits. However, they can only detect gold farmers, not entire GFGs with internal hierarchies. Even worse, GFGs continuously develop techniques to hide, such as forming front organizations, concealing cyber-money, and changing trade patterns when online game service providers ban GFGs. In this paper, we analyze the characteristics of the ecosystem of a large-scale MMORPG, and devise a method for detecting GFGs. We build a graph that characterizes virtual economy transactions, and trace abnormal trades and activities. We derive features from the trading graph and physical networks used by GFGs to identify them in their entirety. Using their structure, we provide recommendations to defend effectively against GFGs while not affecting the existing virtual ecosystem.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2017-03
Language
English
Keywords

BOT DETECTION

Citation

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, v.12, no.3, pp.544 - 556

ISSN
1556-6013
DOI
10.1109/TIFS.2016.2623586
URI
http://hdl.handle.net/10203/220588
Appears in Collection
EE-Journal Papers(저널논문)
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