TY - JOUR
T1 - Online game bot detection based on party-play log analysis
AU - Kang, Ah Reum
AU - Woo, Jiyoung
AU - Park, Juyong
AU - Kim, Huy Kang
N1 - Funding Information:
This research was supported by the Ministry of Knowledge Economy, Korea , under the “ITRC” support program supervised by the National IT Industry Promotion Agency ( NIPA-2011-C1090-1001-0004 ).
PY - 2013/5
Y1 - 2013/5
N2 - 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.
AB - 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.
KW - Game bot
KW - MMORPG
KW - Online game security
KW - User behavior analysis
UR - http://www.scopus.com/inward/record.url?scp=84877739619&partnerID=8YFLogxK
U2 - 10.1016/j.camwa.2012.01.034
DO - 10.1016/j.camwa.2012.01.034
M3 - Article
AN - SCOPUS:84877739619
SN - 0898-1221
VL - 65
SP - 1384
EP - 1395
JO - Computers and Mathematics with Applications
JF - Computers and Mathematics with Applications
IS - 9
ER -