Matching file hashes and patterns of known cheating tools.

To create a low-overhead detection suite that balances security with system stability.

The implemented anti-cheat framework provides a layered defense that significantly raises the bar for developers of malicious software. While no system is impenetrable, the combination of kernel monitoring and strict server-side validation remains the industry standard for securing competitive play.

Exploring the use of ML to identify subtle cheating patterns that evade traditional heuristic checks. 6. Conclusion