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Journal Article
Detecting and Monitoring Game Bots Based on Large-Scale User-Behavior Log Data Analysis in Multiplayer Online Games
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- Authors
- YeonJun Choi, SungJune Chang, YongJun Kim, HunJoo Lee, WookHo Son, SeongIl Jin
- Issue Date
- 2016-09
- Citation
- Journal of Supercomputing, v.72, no.9, pp.3572-3578
- ISSN
- 0920-8542
- Publisher
- Springer
- Language
- English
- Type
- Journal Article
- Abstract
- Online games with a variety of genres and game style have become popular. While the market for online games is growing, unauthorized program software is used and operated by some users. They damaged fair players and furthermore, bot program users have inflicted a huge loss to game service companies. Bot programs show various game play action styles and there are many users not only in Korea but also other countries, so it is not easy to trace. Also, as users of online game and smart device game which is focused recently are increasing, log data quantity are explosively increased and demands of analysis on not only bot information, but also statistical information which is necessary for game operation plan from log information. This paper examines bot program of online game, detection method and tendency of log data management technology for it. This paper introduces our method to detect game bots and manage game log data.
- KSP Keywords
- Data Management, Data quantity, Detection Method, Multiplayer Online Games, Operation plan, Smart devices, Statistical information, User behavior, game play, large-scale, log data analysis