基于用户行为特征的多模式游戏机器人检测
Multimodal Game Bot Detection using User Behavioral Characteristics
摘要：
随着在线服务行业的持续增长，在线世界中的非法活动急剧增加，并且变得更加多样化。大多数非法活动持续发生，因为网络资产，如游戏物品和网络游戏中的网络货币，可以货币化为真实货币。本研究的目的是在大型多人在线角色扮演游戏（MMORPG）中检测游戏机器人。我们观察了游戏机器人的行为特征，发现它们执行与打金和真实货币交易相关的重复性任务。提出了一种基于用户行为特征的游戏机器人检测方法。本文的研究方法被应用于一家大型MMORPG公司提供的真实数据。封禁账号名单检测准确率提升至96.06%。
英文摘要：
As the online service industry has continued to grow, illegal activities in the online world have drastically increased and become more diverse. Most illegal activities occur continuously because cyber assets, such as game items and cyber money in online games, can be monetized into real currency. The aim of this study is to detect game bots in a Massively Multiplayer Online Role Playing Game (MMORPG). We observed the behavioral characteristics of game bots and found that they execute repetitive tasks associated with gold farming and real money trading. We propose a game bot detection methodology based on user behavioral characteristics. The methodology of this paper was applied to real data provided by a major MMORPG company. Detection accuracy rate increased to 96.06% on the banned account list.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
