One AntiCheat
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AI Anti-Cheat for Minecraft 1.8-1.21.8 with smart auto-config, ML detection, zero false flags, and Bedrock support.
Enhances game performance and optimizes resource usage.
Paper is a fork of Spigot that adds its own plugin API on top of the Bukkit API. All Spigot plugins are compatible with paper, not all paper plugins are compatible with Spigot.
Spigot is a popular software for running dedicated servers that can load Plugins created with the Bukkit API.
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BIG UPDATE COMING V1.2.1 WILL BE BETTER
Server Hosting I use daily to test is https://witherhosting.com/
🛡️ Advanced AI Anti-Cheat System for Minecraft 1.8-1.21.8
AntiSystem v1.2.0 is a next-generation, AI-powered anti-cheat plugin featuring advanced machine learning detection engines, deep neural networks, and intelligent behavioral analysis. Designed for maximum protection with zero false positives across all supported Minecraft versions.
🎯 Advanced Detection Capabilities
• Movement Analysis: Flight, speed, reach, teleportation, and sophisticated movement pattern detection
• Combat Intelligence: Kill aura, auto-clicker, reach hacks, and combat automation prevention
• Behavioral AI: Deep learning behavioral analysis with adaptive pattern recognition
• Inventory Protection: Advanced inventory exploit detection and item duplication prevention
• Cross-Platform: Seamless Java and Bedrock player support with platform-specific optimizations
• Bypass Prevention: ML-powered detection of sophisticated cheat bypasses and obfuscation
🧠 Machine Learning Engine
• Deep Neural Networks: Multi-layer perceptron with advanced feature extraction • Ensemble Learning: Combines multiple ML models for superior accuracy • Anomaly Detection: Isolation Forest algorithm for detecting unusual behavior patterns • Gradient Boosting: Advanced ensemble method for high-precision classification • Adaptive Decision Trees: Self-optimizing decision trees that learn from server data • Real-time Learning: Continuous model updates based on live player behavior
🔧 Enhanced Staff Tools
• ML-Powered Analytics: Advanced staff monitoring with AI-driven insights • Smart Alert System: Intelligent violation notifications with confidence scoring • Performance Dashboards: Real-time server performance and detection metrics • Behavioral Insights: Deep analysis of player patterns and anomaly detection • Clean Console Output: Spam-free logging with intelligent message filtering
🚀 Revolutionary Features
• Intelligent Configuration: Manual configuration with ML-optimized default settings • Zero False Positives: AI-trained thresholds eliminate innocent player punishment • Performance Optimized: Advanced resource management with minimal server impact • Cross-Platform Excellence: Full Java and Bedrock compatibility with touch/controller detection • Database Flexibility: SQLite (default) and MySQL support with automatic optimization • Version Compatibility: Full support for Minecraft 1.8 through 1.21.8
📁 Configuration Structure
The plugin uses 5 optimized configuration files: • config.yml: Core settings with advanced ML configurations • bedrockac.yml: Bedrock-specific detection with touch/controller AI • staff.yml: Staff management with ML-enhanced analytics • reasons.yml: AI-powered violation categorization with smart recommendations • plugin.yml: Plugin metadata and command definitions
⚙️ System Requirements
• Server: Spigot/Paper 1.8-1.21.8 (or compatible forks) • Java: Version 8 or higher • Memory: Minimum 512MB allocated for ML processing • Optional: Geyser/Floodgate for enhanced Bedrock support • Database: SQLite (included) or MySQL for large networks
🔄 Recent Updates (v1.2.0)
• Extended Minecraft version support up to 1.21.8 • Implemented advanced deep neural network detection • Added ensemble learning models for improved accuracy • Enhanced Bedrock player detection with touch/controller AI • Streamlined configuration from 6 files to 5 optimized files • Improved ML feature distribution across configuration files • Enhanced staff analytics with behavioral insights • Optimized performance for large server networks
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