Surgical strike: A novel approach to minimize collateral damage to game BOT detection

Hyukmin Kwon, Kyungmoon Woo, Hyun Chul Kim, Chong Kwon Kim, Huy Kang Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Recently, real money trading (RMT) by gold farming groups (GFGs) in online games has increased. In particular, GFGs in massively multiplayer online role playing games (MMORPGs) illegally gather and distribute virtual goods and sell them for real money. The previous methods for GFG detection have focused on the user's behavior analysis, but they could detect only gold farmers, not whole GFGs. In this study, we focused on the virtual economy in games and traced abnormal trade networks formed by the gold farmers. We evaluated this method in a real game, AION, the third largest MMORPG. As a result, we can detect not only gold farmer characters but also the entire network structure of GFGs.

Original languageEnglish
Title of host publicationAnnual Workshop on Network and Systems Support for Games
PublisherIEEE Computer Society
ISBN (Print)9781479929610
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 12th Annual Workshop on Network and Systems Support for Games, NetGames 2013 - Denver, CO, United States
Duration: 2013 Dec 92013 Dec 10

Other

Other2013 12th Annual Workshop on Network and Systems Support for Games, NetGames 2013
Country/TerritoryUnited States
CityDenver, CO
Period13/12/913/12/10

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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