Analysis of cheating in human patterns using Stockfish suggestions
Resumo
Online games are growing, and cheating is becoming more common. Chess, considered a sport by many, often faces cheating in tournaments. The website chess.com daily blocks hundreds of accounts accused of cheating, often using engines like Stockfish. This study analyzes human patterns in thousands of matches using Stockfish to identify cheating. Results show that Stockfish analysis helps identify cheating by comparing players' Elo ratings and move sequences. However, this method alone is insufficient for definitive accusations, necessitating the combination with other robust methods to increase the accuracy of accusations, providing a more comprehensive approach to combating cheating.
Palavras-chave:
Chess, Chess cheating, Cheating, Chess robots, Online Games
Referências
Aciego, R., García, L., & Betancort, M. (2012). The benefits of chess for the intellectual and social-emotional enrichment in schoolchildren. The Spanish journal of psychology, 15(2), 551-559.
Barnes, D. J., & Hernandez-Castro, J. (2015). On the limits of engine analysis for cheating detection in chess. Computers & Security, 48, 58-73.
Hoque, Masudul. Classification of Chess Games: An Exploration of Classifiers for Anomaly Detection in Chess. Minnesota State University, Mankato, 2021.
Iliescu, D. M. D. (2020). The impact of artificial intelligence on the chess world. JMIR serious games, 8(4), e24049.
Kobiela, F. (2018). Should chess and other mind sports be regarded as sports?. Journal of the Philosophy of Sport, 45(3), 279-295.
Martinson, F., & Rangel, D. A Comprehensive Analysis of Game Hacking through Injectors: Exploits, Defenses and Beyond. International Journal of Computer Applications, 975, 8887.
Regan, K. W., Macieja, B., & Haworth, G. M. (2011). Understanding distributions of chess performances. In Advances in computer games (pp. 230-243). Berlin, Heidelberg: Springer Berlin Heidelberg.
Barnes, D. J., & Hernandez-Castro, J. (2015). On the limits of engine analysis for cheating detection in chess. Computers & Security, 48, 58-73.
Hoque, Masudul. Classification of Chess Games: An Exploration of Classifiers for Anomaly Detection in Chess. Minnesota State University, Mankato, 2021.
Iliescu, D. M. D. (2020). The impact of artificial intelligence on the chess world. JMIR serious games, 8(4), e24049.
Kobiela, F. (2018). Should chess and other mind sports be regarded as sports?. Journal of the Philosophy of Sport, 45(3), 279-295.
Martinson, F., & Rangel, D. A Comprehensive Analysis of Game Hacking through Injectors: Exploits, Defenses and Beyond. International Journal of Computer Applications, 975, 8887.
Regan, K. W., Macieja, B., & Haworth, G. M. (2011). Understanding distributions of chess performances. In Advances in computer games (pp. 230-243). Berlin, Heidelberg: Springer Berlin Heidelberg.
Publicado
30/09/2024
Como Citar
SANTOS, João Batista Andrade; ÁVILA, Emanuel; OLIVEIRA, Caio; GOMES, Vitor Manuel; MAIA, José Gilvan R.; FRANCO, Artur.
Analysis of cheating in human patterns using Stockfish suggestions. In: TRILHA DE COMPUTAÇÃO – ARTIGOS CURTOS - SIMPÓSIO BRASILEIRO DE JOGOS E ENTRETENIMENTO DIGITAL (SBGAMES) , 2024
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 25-30.
DOI: https://doi.org/10.5753/sbgames_estendido.2024.241054.
