An AI-driven, behavior-based ransomware protection system that predicts attacks before encryption, automatically isolates infected systems, and restores affected files using secure backups.
Ransomware attacks are increasing rapidly and traditional security tools often detect threats after damage has already begun. Existing solutions rely heavily on known malware signatures, are expensive, and lack automated recovery mechanisms.
This project provides a proactive ransomware defense system that:
- Monitors file and system behavior in real time
- Detects abnormal access and encryption patterns
- Predicts ransomware activity before major damage
- Automatically isolates infected systems
- Restores encrypted files from secure backups
- Provides clear alerts and explanations via an admin dashboard
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🔍 Behavior-Based Detection
Detects ransomware by observing unusual file activity and access patterns, not signatures. -
🧠 AI-Based Threat Prediction
Uses machine learning to identify suspicious behavior before encryption spreads. -
⚡ Automated System Isolation
Instantly isolates infected systems to stop lateral movement. -
🔁 Secure Backup & Recovery
Quickly restores encrypted files from safe, unchangeable backups. -
📊 Transparent Admin Dashboard
Displays alerts with clear reasons for detection and system status. -
💰 Cost-Effective & Scalable
Designed for SMEs, government systems, hospitals, and educational institutions.
- Endpoint Monitoring Agent
- Tracks file access, process activity, and user behavior
- Behavior Analysis Layer
- Detects abnormal file changes a
- AI / ML Engine
- Compares current behavior with normal system patterns
- Threat Detection
- Determines if ransomware activity is present
- Automated Response
- Isolates system, stops attack, blocks spread
- Secure Backup & Recovery
- Restores affected files
- Admin Dashboard
- Displays alerts, explanations, and system health
- Programming Language: Python
- AI/ML: Scikit-learn / TensorFlow (Behavior Analysis)
- Monitoring: OS-level file & process monitoring
- Backend: Flask / FastAPI
- Database: MongoDB / PostgreSQL
- Dashboard: React / HTML-CSS-JS
- Deployment: Docker / Cloud / On-Premise
# Clone the repository
git clone https://github.com/your-username/ransomware-protection-system.git
# Navigate to project directory
cd ransomware-protection-system
# Install dependencies
pip install -r requirements.txt
# Run the application
python main.py