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Online game bot detection based on party-play log analysis.
- Source :
-
Computers & Mathematics with Applications . Apr2013, Vol. 65 Issue 9, p1384-1395. 12p. - Publication Year :
- 2013
-
Abstract
- Abstract: As online games become popular and the boundary between virtual and real economies blurs, cheating in games has proliferated in volume and method. In this paper, we propose a framework for user behavior analysis for bot detection in online games. Specifically, we focus on party play which reflects the social activities among gamers: in a Massively Multi-user Online Role Playing Game (MMORPG), party play is a major activity that game bots exploit to keep their characters safe and facilitate the acquisition of cyber assets in a fashion very different from that of normal humans. Through a comprehensive statistical analysis of user behaviors in game activity logs, we establish threshold levels for the activities that allow us to identify game bots. Based on this, we also build a knowledge base of detection rules, which are generic. We apply our rule reasoner to AION, a popular online game serviced by NCsoft, Inc., a leading online game company based in Korea. [Copyright &y& Elsevier]
- Subjects :
- *VIDEO games
*VIRTUAL reality
*STATISTICS
*COMPUTER science
*COMPUTER systems
Subjects
Details
- Language :
- English
- ISSN :
- 08981221
- Volume :
- 65
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- Computers & Mathematics with Applications
- Publication Type :
- Academic Journal
- Accession number :
- 89258755
- Full Text :
- https://doi.org/10.1016/j.camwa.2012.01.034