This is a DDoS (Distributed Denial of Service) attack detection software developed as part of a course project.
The system utilizes packet analysis and network traffic inspection techniques to detect abnormal behavior caused by DDoS attacks.
- Capture and process network traffic data
- Apply threshold-based analysis techniques to detect DDoS attacks
- Classify DoS and DDoS attacks
- Provide a user-friendly interface for real-time traffic monitoring and alerting
- Scalable and suitable for integration into real network environments
| Component | Technologies |
|---|---|
| Programming Languages | Python, JavaScript |
| Front-end Interface | HTML, CSS |
| Packet Capturing | Scapy, Tshark, NCAP |
| Database | SQLite3 |
| Data Visualization | Chart.js (JavaScript), Plotly (Python) |
-
Install the required libraries:
pip install -r requirements.txt -
Install NCAP
-
Start the FastAPI server:
uvicorn app:app --reload -
Open the web interface:
http://127.0.0.1:8000/ -
Login with default credentials: Username: Admin Password: 123
-
Run the packet analysis script:
python detect_ddos.py
MIT License
Copyright (c) 2025 [Quang989104]
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