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http://dx.doi.org/10.13089/JKIISC.2015.25.4.849

A study of RMT buyer detection for the collapse of GFG in MMORPG  

Kang, Sung Wook (Graduate School of Information Security, Korea University)
Lee, Jin (Graduate School of Information Security, Korea University)
Lee, Jaehyuk (Graduate School of Information Security, Korea University)
Kim, Huy Kang (Graduate School of Information Security, Korea University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.25, no.4, 2015 , pp. 849-861 More about this Journal
Abstract
As the rise in popularity of online games, the users start exchanging rare items for real money. As RMT (Real Money Trade) is prevalent, GFG (Gold Farming Group) who abuse RMT shows up. GFG causes social problems such as identity theft, privacy leaks. Because they needs many bot characters to gather game items. In addition, GFG induce RMT that makes in-game problems such as a destroying game economy, account hacking. Therefore, It is very important work to collapse GFG at the perspective of social and in-game. In this paper, we proposed a fundamental method for detecting RMT buyers for the collapse of GFG at the perspective of buyer by Law of Demand and Supply. We found two type of RMT by analyzing actual game data and detected RMT buyers with high recall ratio of 98% by ruled-based detection.
Keywords
Buyer detection; GFG (Gold Farming Group); Online Game Bot; RMT (Real Money Trade); RMT buyer;
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