DDoS Detection Program
This repository contains a Python program for detecting potential DDoS (Distributed Denial of Service) attacks using network traffic analysis.
Real-time Packet Sniffing: Utilizes Scapy library to capture and analyze network traffic in real-time.
Dynamic Thresholding: Uses statistical analysis (mean and standard deviation) to dynamically adjust detection thresholds.
Web Dashboard: Provides a web-based dashboard (built with Flask and Chart.js) for visualizing network traffic data.
Logging: Logs potential DDoS attack detections to a file for further analysis.
To get started with the DDoS detection program, follow these steps:
Python 3.x installed on your system.
Install required Python packages:
pip install scapy numpy pandas flask
Clone the repository:
git clone https://github.com/Farenfv/DDoS-Detection.git
cd ddos-detection-python
python ddos_detection.py
Open your web browser and go to http://localhost:5000
The program starts sniffing network traffic upon execution.
It continuously analyzes incoming traffic and detects potential DDoS attacks based on predefined thresholds.
Detected events are logged in ddos_detection.log.
The web dashboard updates every 5 seconds to display real-time traffic statistics.
Contributions are welcome! If you have suggestions, feature requests, or want to report issues, please open an issue or submit a pull request.