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Game Bot Detection Approach Based on Behavior Analysis and Consideration of Various Play Styles
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  • Game Bot Detection Approach Based on Behavior Analysis and Consideration of Various Play Styles
  • Game Bot Detection Approach Based on Behavior Analysis and Consideration of Various Play Styles
저자명
Chung. Yeounoh,Park. Chang-Yong,Kim. Noo-Ri,Cho. Hana,Yoon. Taebok,Lee. Hunjoo,Lee. Jee-Hyong
간행물명
ETRI journal
권/호정보
2013년|35권 6호|pp.1058-1067 (10 pages)
발행정보
한국전자통신연구원
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

An approach for game bot detection in massively multiplayer online role-playing games (MMORPGs) based on the analysis of game playing behavior is proposed. Since MMORPGs are large-scale games, users can play in various ways. This variety in playing behavior makes it hard to detect game bots based on play behaviors. To cope with this problem, the proposed approach observes game playing behaviors of users and groups them by their behavioral similarities. Then, it develops a local bot detection model for each player group. Since the locally optimized models can more accurately detect game bots within each player group, the combination of those models brings about overall improvement. Behavioral features are selected and developed to accurately detect game bots with the low resolution data, considering common aspects of MMORPG playing. Through the experiment with the real data from a game currently in service, it is shown that the proposed local model approach yields more accurate results.