Exploiting MMORPG log data toward efficient RMT player detection

Authors:
Hiroshi Itsuki;Asuka Takeuchi;Atsushi Fujita;Hitoshi Matsubara
Affiliations:
Future University Hakodate, Kameda-nakano-cho, Hakodate, Japan;Future University Hakodate, Kameda-nakano-cho, Hakodate, Japan;Future University Hakodate, Kameda-nakano-cho, Hakodate, Japan;Future University Hakodate, Kameda-nakano-cho, Hakodate, Japan
Venue:
Proceedings of the 7th International Conference on Advances in Computer Entertainment Technology
Year:
2010

Citing 4
Cited 1

Synthetic Worlds: The Business and Culture of Online Games

Synthetic Worlds: The Business and Culture of Online Games
Detection of MMORPG bots based on behavior analysis

ACE '08 Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology
Identifying MMORPG bots: a traffic analysis approach

EURASIP Journal on Advances in Signal Processing - Special issue on signal processing applications in network intrusion detection systems
Virtual item sales as a revenue model: identifying attributes that drive purchase decisions

Electronic Commerce Research

Your age is showing: an analysis of identity fraud in online game classification systems

Proceedings of the 14th Annual International Conference on Electronic Commerce

Quantified Score

Hi-index	0.00

Visualization

Abstract

To detect players who are engaged in real-money trading (RMT) in massively multi-player online role-playing games (MMORPGs), behavior of players was analyzed using log data of a commercial MMORPG. A closed test evaluated the effectiveness of several player-wise statistics derived from the log data in detecting RMT players.