Create Intrusion Detection System with Machine Learning #92
Description
Build an advanced intrusion detection system using machine learning for threat detection.
Core Features:
- Network traffic monitoring
- Signature-based detection
- Anomaly-based detection
- Host-based monitoring
- Real-time alerting
Machine Learning:
- Behavioral analysis algorithms
- Neural network models
- Ensemble methods
- Unsupervised learning
- Online learning capabilities
Detection Methods:
- Pattern matching
- Statistical analysis
- Protocol analysis
- Payload inspection
- Metadata analysis
Response System:
- Automated response actions
- Incident classification
- Evidence collection
- Forensic analysis tools
- Integration with SIEM systems
Files to Create:
projects/advanced/intrusion-detection/projects/advanced/intrusion-detection/ml-models/projects/advanced/intrusion-detection/detection/projects/advanced/intrusion-detection/README.md