🕵️♂️ Network Packet Tracer & Analyzer with Real-Time Visualization 🕸️ An intuitive network traffic analysis tool that captures, visualizes, and analyzes network packets in real-time using Scapy, Tkinter, and Matplotlib. This tool provides live packet sniffing, protocol breakdown, IP analysis, and insights into network behavior with detailed visualizations.
✨ Features Live Packet Sniffing: Capture network packets in real-time using Scapy. Real-Time Visualization: Visualize network statistics with dynamic bar charts and pie charts using Matplotlib. Top IP Address Tracking: Identify the top 5 source and destination IP addresses by traffic volume. Detailed Traffic Insights: Generate comprehensive traffic summaries and protocol-specific insights. User-Friendly GUI: A clean and intuitive GUI built with Tkinter for easy interaction. JSON Packet Logging: Log packet information in a packets.json file for future analysis.
🚀 Getting Started Prerequisites Ensure you have the following installed:
Python 3.6+ Scapy: pip install scapy Matplotlib: pip install matplotlib Tkinter: Pre-installed with Python, or use your system package manager to install it.
Installation Clone the repository:
git clone https://github.com/yourusername/network-packet-tracer.git](https://github.com/mhtkr/Network-Packet-Ananlyzer.git cd network-packet-tracer Install the required Python packages:
pip install -r requirements.txt Run the application:
python packet_tracer.py
🖥️ Usage Start Sniffing: Press the Start Sniffing button to capture live network traffic. View Real-Time Stats: Monitor live packet statistics on the bar chart. Stop Sniffing: Press the Stop Sniffing button to stop capturing and view final insights. Visualize Protocol Distribution: Pie chart displaying traffic percentage per protocol. Analyze IPs: Bar charts showing the top 5 source and destination IPs. View Conclusion: Get detailed insights on the network's traffic pattern, including common protocols and top IPs.
📊 Visualizations Bar Charts: Protocol counts and top IPs. Pie Charts: Traffic distribution by protocol.
📜 Conclusion & Insights At the end of the packet sniffing session, the tool provides a detailed conclusion about the most common protocols, top IP addresses, and insights into traffic patterns. Example insights include:
TCP: High web traffic, reliable communication. UDP: Real-time applications like video streaming or gaming. ICMP: Diagnostic activity, potential network troubleshooting. 🔧 Customization Feel free to modify the following components to fit your specific needs:
Packet Callback Function: Customize packet processing logic in packet_callback() for specialized analysis. Data Logging: Modify JSON logging in packets.json to capture additional packet details.
🛡️ Future Enhancements Real-time bandwidth monitoring. Protocol-specific traffic breakdown (e.g., HTTP, FTP). Detailed IP geolocation analysis. Enhanced UI/UX with more customization options.
🛠️ Contributing Contributions are welcome! Feel free to open issues or submit pull requests to improve the tool. Here's how you can contribute:
Fork the repository. Create a new branch for your feature/fix: git checkout -b feature-name. Commit your changes: git commit -m 'Add some feature'. Push the changes to your branch: git push origin feature-name. Open a pull request.
🧑💻 Author M O H I T K U M A R If you have any questions, feel free to reach out!