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

Cheating is widespread in online games, particularly in competitive games like 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 anti-cheating applications. In this paper, we propose a general system for ESP anti-cheating in online FPS games, considering the business characteristics and industrial applications. We present a vision-based anti-cheating 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 anti-cheating applications. We evaluate our proposed framework from multiple online and offline perspectives and demonstrate its practical significance with superior performance.