Network Traffic Monitoring with Scapy for Honeypots

Understanding how data moves across a network is essential for defending digital infrastructure against modern cyber threats. This text-based course guides you through the fundamentals of network packet analysis using Scapy, a powerful Python library for packet manipulation. You will start with core networking concepts and foundational definitions, then transition into writing Python scripts to capture, dissect, and forge network packets. By the end of this course, you will be able to monitor suspicious traffic in real time and build basic, functional honeypots to detect unauthorized network activity. What you'll learn: Learn essential network protocols, packet structures, and the fundamentals of traffic analysis; Capture and inspect live network traffic using Scapy's packet-sniffing capabilities; Forge and manipulate custom IP, TCP, and UDP packets to test network defenses; Build basic honeypots and simulated network services to detect and log suspicious activity; Apply modern Python development practices, including basic type hints, to write clean network scripts; Analyze captured traffic data to identify common scanning techniques and network anomalies. This course begins with basic terminology, explaining the OSI model and packet anatomy, before walking you through practical, step-by-step scripting exercises. You will learn how to write robust packet-filtering logic and structure your honeypot code for maximum readability and effectiveness. This course is designed for aspiring cybersecurity professionals, system administrators, and Python developers who want to learn network security from the ground up. No prior experience with network analysis or Scapy is required, though a basic understanding of Python is helpful. Start reading today to build your own network monitoring tools and strengthen your cybersecurity skillset.