Who ruins the game?: unveiling cheating players in the "Battlefield" game

TL;DR

This paper analyzes cheating behavior in the online game 'Battlefield' using statistical analysis of over 44,000 reported incidents to identify patterns and inform prevention strategies.

Contribution

It provides a comprehensive statistical analysis of cheating incidents in 'Battlefield', offering insights into player behavior and suggesting data-driven anti-cheat measures.

Findings

Cheating incidents are correlated with specific player behaviors.

Visualizations reveal patterns in cheating activities.

Adaptive strategies are essential for effective cheating prevention.

Abstract

The "Battlefield" online game is well-known for its large-scale multiplayer capabilities and unique gaming features, including various vehicle controls. However, these features make the game a major target for cheating, significantly detracting from the gaming experience. This study analyzes user behavior in cheating play in the popular online game, the "Battlefield", using statistical methods. We aim to provide comprehensive insights into cheating players through an extensive analysis of over 44,000 reported cheating incidents collected via the "Game-tools API". Our methodology includes detailed statistical analyses such as calculating basic statistics of key variables, correlation analysis, and visualizations using histograms, box plots, and scatter plots. Our findings emphasize the importance of adaptive, data-driven approaches to prevent cheating plays in online games.