Network monitoring and analysis are critical for assuring computer network security, performance, and dependability. In this project, we investigate the use of Python's Scapy module to construct a comprehensive and adaptable network monitoring and analysis tool. Scapy provides a strong foundation for creating, transmitting, and receiving network packets, allowing for extensive packet analysis and manipulation.
The project entails building and constructing a Python program that captures, analyses, and interprets network data using Scapy. Because the application allows users to create filters to collect certain types of packets, it may be used for a variety of applications, including intrusion detection, network troubleshooting, and performance optimization. The project's goal is to provide users with a versatile and powerful toolbox for analyzing network protocols and understanding their behavior by using Scapy's capabilities.
The project's key features are packet capture, realtime analysis, packet creation, and statistical visualization. The collected packets are parsed and analyzed in order to extract important information such as source and destination addresses, protocol types, payload contents, and so on. The program also has the ability to generate custom packets in order to imitate network activity and analyze network response. Furthermore, the project employs data visualization tools to illustrate statistical insights and patterns obtained from the collected data.