A comprehensive network monitoring system that detects and alerts on suspicious activities using Python and open-source security tools.
The Network Security Monitoring System is a robust solution designed to provide real-time visibility into network traffic, detect potential security threats, and alert administrators to suspicious activities. Built with Python and leveraging powerful open-source security tools, this system offers enterprise-grade monitoring capabilities.
The project was developed to address the growing need for proactive network security measures in organizations of all sizes. By analyzing network traffic patterns, identifying anomalies, and correlating events across multiple data sources, the system helps security teams respond quickly to potential threats before they can cause significant damage.
- Live packet monitoring and suspicious activity detection
- Alert generation for potential threats
- Integrated visualization dashboard
- Modular Python code for flexibility
- Python
- Scapy / Pyshark
- Matplotlib / Plotly
- Custom visualization scripts • Python 3.9+ • Scapy (Packet manipulation) • Pandas (Data analysis) • Scikit-learn (Machine learning) • Flask (Web dashboard)
pip install -r requirements.txt
python monitor.pyThe system provides a real-time dashboard to track IP traffic, port activity, and anomaly detection.
The Network Security Monitoring System is under continuous development with the following planned enhancements:
•Integration with threat intelligence feeds to improve detection of known malicious actors •Implementation of deep learning models for more sophisticated anomaly detection •Development of automated response capabilities to contain threats without human intervention • Expand the dashboard to include more detailed forensic analysis tools
- Requires admin privileges to capture live network traffic.
- Tested on Linux and Windows environments.
- Use responsibly and only on systems you own or have permission to test.