Advanced X-Ray detection using machine learning
Lantern takes a different approach to detecting X-ray users. Instead of relying solely on simple heuristics or ore-to-stone ratios, this plugin utilizes a CatBoost machine learning model to analyze player behavior in real-time.
This project started as an experiment on my own SMP server and yielded impressive results, but please note that this is currently an Alpha release.
How it works
The detection model is trained on a large dataset of legitimate player behavior. Because gathering high-quality data on cheaters is difficult, the plugin is currently configured with a philosophy of "innocent until proven guilty."
Machine learning relies on data. If you run a server and are willing to help collect gameplay data to refine the detection of cheaters, please join our Discord. In exchange for contributing datasets, I can offer early access to the improved Premium model.
Key Features