🛡️ TrafficSpy

A professional Network Traffic Analysis tool designed for Deep Packet Inspection (DPI). This tool automates the process of reading .pcap files to identify network anomalies, top-talking devices, and protocol distributions.

---

🛠️ Requirements & Tools

To run this analyzer effectively, the following tools and environment are required:

1. Python Environment

• Python 3.8+: Ensure you have the latest stable version of Python.
• Scapy Library: The core engine used for packet parsing and dissection.

2. Network Drivers (Crucial)

• Windows Users: You must install Npcap (in WinPcap compatibility mode) to allow Python to interface with the network stack. Download it from npcap.com.
• Linux/macOS Users: Ensure libpcap is installed (usually pre-installed or available via apt-get install libpcap-dev).

3. Traffic Viewing (Optional but Recommended)

• Wireshark: While this script performs the analysis, Wireshark is recommended for visually verifying the contents of your demo.pcap files.

---

🚀 Technical Stack

• Language: Python 3
• Library: Scapy (Packet Manipulation)
• Data Handling: Collections (Counter for statistical analysis)
• Format: PCAP (Packet Capture)

---

💻 Quick Start

1. Installation

git clone https://github.com/6-ft/TrafficSpy.git
cd TrafficSpy
python analyzer.py

👨‍💻 Author

Pulkit

GitHub: @6-ft