A web application for botnet detection using Machine Learning - XGBoost, from the csv file containing network packet flows, captured using CICFlowMeter Tool.
TrafficTracer allows users to upload CSV files containing extracted network flow data and instantly receive detection results indicating whether the traffic is normal or part of a botnet. The system processes the uploaded file, runs it through a pre-trained machine learning model, and visualizes the output using intuitive charts and tables for easy interpretation.
To assist users in generating flow-based CSV files, a downloadable .jar file of CICFlowMeter is also provided along with usage instructions, enabling users to perform local packet capture and feature extraction before uploading to the web app.
- Frontend: HTML, CSS, JavaScript, Chart.js
- Backend: FlaskAPI (Python), XGBoost model
- Deployment: Vercel (Frontend), Render.com (Backend API)
This app is designed for simplicity and quick analysis, making botnet detection accessible to users without deep technical expertise.