Cheat Prediction and Contrastive Analysis in Games Based on Machine Learning Methods

Xingjie Lin

2024

Abstract

The research topic of this study is cheat prediction in games and its importance lies in maintaining a fair and enjoyable gaming environment. The main idea of this article is exploring machine learning models of game cheating detection. Specifically, the focus of this study is on the criteria and search strategies for analyzing the four models. Machine learning has significant advantages in generalization of data fitting. The implicit relationships between data are further inferred and represented. The comparative analysis of those models revealed that Logistic Regression model outperformed others with 90% accuracy. The results show that Logistic Regression has competitive performance due to its unique features. This study provides valuable insights for game developers and researchers to develop effective cheat detection systems. The future prospects and directions for cheat detection research are also discussed. Overall, this research contributes to the advancement of cheat detection in games, which can promote fairness and trust in the gaming community.

Paper Citation

in Harvard Style

Lin X. (2024). Cheat Prediction and Contrastive Analysis in Games Based on Machine Learning Methods. In Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-690-3, SciTePress, pages 464-469. DOI: 10.5220/0012821100004547

in Bibtex Style

@conference{icdse24,
author={Xingjie Lin},
title={Cheat Prediction and Contrastive Analysis in Games Based on Machine Learning Methods},
booktitle={Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2024},
pages={464-469},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012821100004547},
isbn={978-989-758-690-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Cheat Prediction and Contrastive Analysis in Games Based on Machine Learning Methods
SN - 978-989-758-690-3
AU - Lin X.
PY - 2024
SP - 464
EP - 469
DO - 10.5220/0012821100004547
PB - SciTePress