Development of Embedded CAPTCHA Elements for Bot Prevention in Fischer Random Chess
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,...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | International Journal of Computer Games Technology |
| Online Access: | http://dx.doi.org/10.1155/2012/178578 |
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| _version_ | 1832545627229126656 |
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| author | Ryan McDaniel Roman V. Yampolskiy |
| author_facet | Ryan McDaniel Roman V. Yampolskiy |
| author_sort | Ryan McDaniel |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-17ee83c4b9fa41f486462d022a05c5f2 |
| institution | Kabale University |
| issn | 1687-7047 1687-7055 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Computer Games Technology |
| spelling | doaj-art-17ee83c4b9fa41f486462d022a05c5f22025-02-03T07:25:13ZengWileyInternational Journal of Computer Games Technology1687-70471687-70552012-01-01201210.1155/2012/178578178578Development of Embedded CAPTCHA Elements for Bot Prevention in Fischer Random ChessRyan McDaniel0Roman V. Yampolskiy1Computer Engineering and Computer Science, University of Louisville, Louisville, KY 40292, USAComputer Engineering and Computer Science, University of Louisville, Louisville, KY 40292, USACheating 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.http://dx.doi.org/10.1155/2012/178578 |
| spellingShingle | Ryan McDaniel Roman V. Yampolskiy Development of Embedded CAPTCHA Elements for Bot Prevention in Fischer Random Chess International Journal of Computer Games Technology |
| title | Development of Embedded CAPTCHA Elements for Bot Prevention in Fischer Random Chess |
| title_full | Development of Embedded CAPTCHA Elements for Bot Prevention in Fischer Random Chess |
| title_fullStr | Development of Embedded CAPTCHA Elements for Bot Prevention in Fischer Random Chess |
| title_full_unstemmed | Development of Embedded CAPTCHA Elements for Bot Prevention in Fischer Random Chess |
| title_short | Development of Embedded CAPTCHA Elements for Bot Prevention in Fischer Random Chess |
| title_sort | development of embedded captcha elements for bot prevention in fischer random chess |
| url | http://dx.doi.org/10.1155/2012/178578 |
| work_keys_str_mv | AT ryanmcdaniel developmentofembeddedcaptchaelementsforbotpreventioninfischerrandomchess AT romanvyampolskiy developmentofembeddedcaptchaelementsforbotpreventioninfischerrandomchess |