Network Log Visualization and Anomaly Detection
A Flask application that visualizes network logs and uses machine learning models to detect anomalous traffic patterns such as DDoS-like behavior.
- Built a clear log visualizer to make large network log streams easier to inspect.
- Applied Isolation Forest, One-Class SVM, and Local Outlier Factor for anomaly scoring.
- Displayed model outputs and heatmaps in a practical interface for faster threat triage.
- Flask
- Python
- Isolation Forest
- One-Class SVM
- LOF


