Anomaly Detection in Network Traffic
- Detect anomalies in network traffic for cybersecurity, performance monitoring, and compliance.
- Isolation Forest (unsupervised ML) with temporal feature engineering for pattern recognition.
- Developed an automated alert system with configurable thresholds and notification mechanisms.
Tools / Technology: Python, Scikit-learn, Pandas, Streamlit, Plotly