Detecting and monitoring game bots based on large-scale user-behavior log data analysis in multiplayer online games

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• 作者：YeonJun Choi ; SungJune Chang ; YongJun Kim ; HunJoo Lee…
• 关键词：Multiplayer online game ; MOG ; MMOG ; Game bot ; Game auto ; Pattern recognition ; Game bot pattern ; Bot detection ; Big data
• 刊名：The Journal of Supercomputing
• 出版年：2016
• 出版时间：September 2016
• 年：2016
• 卷：72
• 期：9
• 页码：3572-3587
• 全文大小：1,384 KB
• 刊物类别：Computer Science
• 刊物主题：Programming Languages, Compilers and Interpreters
  Processor Architectures
  Computer Science, general
  
• 出版者：Springer Netherlands
• ISSN：1573-0484
• 卷排序：72

文摘

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.