Network Traffic Tracer: Analyzing and Monitoring Network Traffic Using Python and Wireshark

Performance and Secuity analysis is essential in the communication systems in the digital world we live in today. This paper discusses the creation of a Network Traffic Tracer, a network system written in Python with integrated Wireshark for capturing packets and performing automated traffic analysis. It employs Scapy and PyShark libraries to capture, f ilter, and process network packets to analyze crucial data about the traffic patterns, unusual activities, and possible security threats. Furthermore, it uses GeoLiteCity IP address geolocation database to enable visual mapping of suspicious network activities all over the world. Such visualization is plenty in identifying strange patterns such as unauthorized invasion or flooding the network which is known as Distributed Denial of Service (DDoS). Furthermore, the system supports real-time monitoring along with statistical report generation for traffic anomaly detection to increase the level of secuity and optimize performance of the network. In this paper, we show how effective the combination of automation in Python and traditional network analysis methods is in addressing issues pertaining to security and monitoring of networks.