DeepGuard-Xray v1.7.0 - Major Update: The Machine Learning System
I'm thrilled to announce the biggest update yet for DeepGuardXray - version 1.7.0! This major release introduces an advanced machine learning system for X-ray cheat detection, bringing new analysis capabilities to your server. After several weeks of development, this update aims to better distinguish between legitimate mining and cheating behaviors.

New Advanced Machine Learning System

• Smart Mining Style Recognition: The ML system now identifies different mining styles (branch mining, cave exploration, or suspicious patterns) and adjusts its analysis accordingly
• Context-Aware Analysis: Legitimate branch miners won't be falsely flagged for staying at diamond level
• Detailed Reasoning Process: Get comprehensive reports explaining exactly why a player was flagged with step-by-step analysis
• Pre-trained Model: Comes with bundled training data so you can use it immediately
• Auto-analysis System: Automatically analyzes suspicious players based on configurable thresholds

New ML Command System

• /deepguardx ml train <player> <cheater|normal> - Collect training data to improve detection accuracy
• /deepguardx ml analyze <player> - Start analyzing a player's mining behavior
• /deepguardx ml report <player> - View detailed analysis results with suspicion scores
• /deepguardx ml enable/disable - Toggle the ML detection system
• /deepguardx ml status - Check current ML system status and training stats

️ New Staff GUI Interfaces

• ML Analysis Dashboard: Monitor players in real-time with visual suspicion indicators
• Training Data Management: Easily collect and manage training data from normal players and cheaters
• Player Selection Interface: Quickly select players for analysis or training
• Auto-Analysis Settings: Configure thresholds for automatic player monitoring
• Detailed Reports Panel: Browse and view comprehensive detection reports

Enhanced Analysis Features

• Advanced Pattern Recognition: Detects suspicious mining patterns that indicate X-ray
• Y-Level Analysis: Tracks how players navigate vertically and identifies suspicious movements
• Ore Discovery Rate Analysis: Monitors how quickly players find valuable ores
• Mining Focus Detection: Identifies players suspiciously focused on valuable ores
• Movement Pattern Analysis: Analyzes player movements around ore discoveries

️ Technical Improvements

• Optimized Data Collection: Improved performance with throttled movement tracking
• Enhanced Data Management: Better organization and storage of analysis data
• Webhook Integration: Send detection alerts to Discord with detailed analysis
• Reference Statistics: Compare player behavior against trained normal/cheating profiles
• Suspicious Count Tracking: Keep track of suspicious behaviors over time

New Permissions

• deepguardx.ml.train - Permission to train the ML system
• deepguardx.ml.analyze - Permission to analyze players with ML
• deepguardx.ml.report - Permission to view analysis reports
• deepguardx.ml.toggle - Permission to enable/disable the ML system
• deepguardx.ml.status - Permission to check ML system status
• deepguardx.gui_ml - Permission to access the ML Analysis GUI in the staff panel

Bug Fixes

• Fixed false positives for legitimate branch miners
• Resolved issues with player head display in GUI
• Fixed permission handling in command system
• Improved data saving and loading reliability
• Better error handling throughout the system

Note: This is the first implementation of the actual ML system in the plugin - the previous version was merely a prototype. I've tried my best to make it work well, but if you encounter any errors or notice false data in the analysis, please let me know! Your feedback is crucial for improving the accuracy and reliability of the system.

Thank you for your patience during development! This update adds new anti-cheat capabilities for Minecraft servers, and I'm excited to continue improving DeepGuardXray with your feedback.