Project Overview
Overview:
This project is a web-based system designed to monitor and analyze live traffic on a server in real-time. It utilizes WebSockets for instant data updates, allowing users to track, query, and filter network traffic seamlessly. A dedicated dashboard presents key metrics and insights, offering administrators a clear overview of network activity.
To facilitate deeper analysis, the system captures and stores PCAP (Packet Capture) files for each unique IP address. These PCAP files can be analyzed directly within the web application, enabling users to investigate network behavior, detect anomalies, and enhance security. The project aims to provide a comprehensive solution for network administrators, security analysts, and IT teams to optimize network performance, detect threats, and ensure seamless server operations.
Key Features
1. Real-Time Traffic Monitoring
- Uses WebSockets for live updates.
- Displays active network connections and data transfer in real time.
- Monitors incoming and outgoing traffic on the server.
2. Query & Filter Network Traffic
- Search for specific IP addresses, ports, or protocols.
- Apply filters to analyze specific network activity.
- Custom query options for deep packet inspection.
3. Interactive Dashboard
- Visual representation of network traffic statistics.
- Displays metrics like active connections, bandwidth usage, and request rates.
- Graphical charts for trend analysis.
4. PCAP File Capture & Storage
- Automatically captures and stores packet data per unique IP address.
- Organizes PCAP files for easy access and retrieval.
- Securely stores historical network data for forensic analysis.
5. Web-Based PCAP Analysis
- Analyze captured packets within the web application.
- Inspect packet details like source, destination, protocol, and payload.
- Identify anomalies, security threats, or suspicious network behavior.
6. Security & Performance Optimization
- Helps detect potential DDoS attacks or unauthorized access.
- Provides insights into network bottlenecks and slow responses.
- Supports proactive network troubleshooting and optimization.
Technology Stack
- Frontend: React.js / Next.js (for interactive UI)
- Backend: Django / Python (for handling WebSockets and API requests)
- Database: PostgreSQL (for storing traffic logs and metadata)
- WebSockets: Socket.io / Django Channels (for real-time updates)
- PCAP Processing: Scapy / Tshark / PyShark (for packet capture and analysis)
Use Cases
- Network Security Monitoring: Detect and investigate suspicious traffic.
- Server Performance Analysis: Monitor bandwidth usage and optimize performance.
- Traffic Auditing & Compliance: Maintain logs of network activity for auditing purposes.
- Incident Response & Forensics: Analyze captured traffic to identify malicious activities.
This project provides an all-in-one solution for real-time traffic monitoring, detailed network analysis, and security enhancement, making it an essential tool for IT administrators and cybersecurity professionals.
