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Development of Embedded CAPTCHA Elements for Bot Prevention in Fischer Random Chess

机译:嵌入式CAPTCHA元素的开发,用于在FISCHER随机棋中预防BOT预防

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摘要

Cheating in chess can take many forms and has existed almost as long as the game itself. The advent of computers has introduced a new form of cheating into the game. Thanks to the computational power of modern-day computers, a player can use a program to calculate thousands of moves for him or her, and determine the best possible scenario for each move and countermove. These programs are often referred to as “bots,” and can even play the game without any user interaction. In this paper, we describe a methodology aimed at preventing bots from participating in online chess games. The proposed approach is based on the integration of a CAPTCHA protocol into a game scenario, and the subsequent inability of bots to accurately track the game states. This is achieved by rotating the images of the individual chess pieces and adjusting their resolution in an attempt to render them unreadable by a bot. Feedback from users during testing shows that there is minimal impact on their ability to play the game. Players rated the difficulty of reading the pieces on a scale of one to ten, with an average rank of 6.5. However, the average number of moves to adjust to the distorted pieces was only 3.75. This tells us that, although it is difficult to read the pieces at first, it is easy to adjust quickly to the new image.
机译:在国际象棋中欺骗可以采取许多形式,并且几乎只有游戏本身就存在。计算机的出现推出了一种新形式的作弊。由于现代计算机的计算能力,玩家可以使用程序来计算成千上万的他或她的动作,并确定每个移动和对策的最佳场景。这些程序通常被称为“机器人”,甚至可以在没有任何用户交互的情况下播放游戏。在本文中,我们描述了一种旨在防止机器人参加在线国际象棋游戏的方法。所提出的方法基于将CAPTCHA协议集成到游戏场景中,以及随后的机器人无法准确跟踪游戏状态。这是通过旋转各个棋子的图像并试图通过机器人渲染它们的分辨率来实现的实现。测试期间用户的反馈表明,对他们玩游戏的能力影响最小。球员评价难以在一到十的范围内读取碎片,平均排名为6.5。但是,要调整到扭曲件的平均移动次数仅为3.75。这告诉我们,虽然很难首先读取这些件,但很容易将快速调整到新图像。

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