VESPA: A General System for Vision-Based Extrasensory Perception Anticheating in Online FPS Games

Abstract

Cheating is widespread in online games, particularly in competitive games, such as first-person shooter (FPS) games. One of the most common types of cheating is extrasensory perception (ESP), which involves illicitly obtaining visual information to gain an unfair advantage over normal players. To protect the gaming experience of legitimate players and the interests of game companies, there is an urgent need for anticheating applications. In this article, we propose a general system for ESP anticheating in online FPS games, considering the business characteristics and industrial applications. We present a vision-based anticheating framework that incorporates both supervised and unsupervised solutions for comprehensive cheating detection. Based on this framework, we design and deploy a dual-audit human-in-the-loop system for industrial gaming anticheating applications. We evaluate our proposed framework from multiple online and offline perspectives and demonstrate its practical significance with superior performance.