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Shoot for the Moon and You Will Never Miss: Characterizing and Detecting Aimbots in Online Games

机译:为月球拍摄,您将永远不会错过:在线游戏中的特征和检测Aimbots

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The online game market is one of the fastest growing entertainment industries in the world. By 2016, the size of global game market is forecasted to reach $86.1 billion. Among the many genres of online games, first person shooter (FPS) is the second most popular. Due to the popularity and economic importance of FPS games, it is imperative to shield them from cheating for the benefit of both game operators and players, especially considering that the competitive nature of FPS games provides strong incentives to cheat. With regard to FPS games, the most common cheat is the use of automated tools to aim and shoot more accurately, also known as aimbots. While people have proposed different approaches for detecting fully automated bots, none of them can detect aimbots. Aimbot detection is notoriously difficult because aimbots are completely passive (i.e., no tampering with game data or code) and interact with human players intensively (i.e., semi-automatic).
机译:网络游戏市场是世界上增长最快的娱乐行业之一。到2016年,预计全球游戏市场的规模将达到861亿美元。在在线游戏的许多类型中,第一人称射击游戏(FPS)是第二次最受欢迎的。由于FPS游戏的普及和经济重要性,必须掩护他们为游戏运营商和玩家的利益来保护它们,特别是考虑到FPS游戏的竞争性提供了欺骗的强烈激励。关于FPS游戏,最常见的作弊是使用自动化工具以更准确地瞄准和拍摄,也称为Aimbots。虽然人们已经提出了不同的方法来检测完全自动机器人,但它们都不可以检测到Aimbots。 Aimbot检测是众所周知的,因为Aimbots完全被动(即,没有与游戏数据或代码篡改),并与人类玩家进行密集地相互作用(即,半自动)。

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