ML-Based Intrusion Detection System
MACHINE LEARNING & NETWORK SECURITY
Overview
Machine learning-powered network anomaly detection using Random Forest and Gradient Boosting classifiers.
Key Features
- ✓ Random Forest + Gradient Boosting classifiers
- ✓ 12 network traffic indicators
- ✓ Real-time threat detection & alerts
- ✓ ROC-AUC: 0.97+, Accuracy: 95%+
- ✓ Alert severity scoring (HIGH/MEDIUM/LOW)
- ✓ Cross-validation & feature importance
Technologies
PythonFlaskscikit-learnpandasMachine Learning
Difficulty Level
Advanced
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