Server-side Anti-cheat in FPS games for Aimbot detection using Deep learning and Machine learning
arXiv:2607.04336v1 Announce Type: new Abstract: Modern video games are becoming more complex day by day. Most of these modern games are multiplayer first-person shooter (FPS) games. The rising popularity of FPS games emphasizes the need to combat cheating for fair and enjoyable gaming. As the number of players using cheating techniques like aimbots, wallhacks, and speed hacks is also increasing, we need a way to detect players who are using cheating tools to gain an unfair advantage over regular players. In this system, we focus exclusively on detecting aimbot cheats. Players who use aimbot ch
The increasing complexity and popularity of multiplayer FPS games, coupled with the rising prevalence of AI-driven cheating tools, necessitates advanced server-side detection methods. Deep learning and machine learning offer a viable path to combating these sophisticated cheats.
This development is important for maintaining fair competitive environments in a major segment of the gaming industry, impacting player retention, game integrity, and the financial models of game publishers.
The focus on server-side anti-cheat using advanced AI moves detection from client-side heuristics, making it harder for cheaters to bypass systems and enhancing the overall integrity of online gaming.
- · Game developers
- · Fair players
- · Esports organizations
- · AI/ML anti-cheat solution providers
- · Cheaters
- · Cheat tool developers
Improved player experience and trust in competitive online FPS games.
Increased investment in AI-driven security and integrity systems across various digital interactive platforms.
The arms race between AI for integrity and AI for exploitation may accelerate, leading to more sophisticated adversarial AI applications.
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Read at arXiv cs.AI