Paper Contents
Abstract
Network Traffic Analysis (NTA) includes monitoring, recording, and analyzing network traffic to identify anomalies, maximize performance, and find security threats. This project examines a platform utilizing real-time packet capture and inspection methods to categorize traffic, identify intrusions, and display usage patterns visually.Our approach utilizes tools like Wireshark and Python-based packet sniffers developed with libraries such as scapy or pyshark. Through the use of deep packet inspection and behavior-based analysis, it can identify likely DDoSdenial of service, port scanning, or abnormal traffic spikes.The system not only enhances security and performance but also facilitates understanding of traffic mix.The project prioritizes effective visualization, real-time notifications, and logging frameworks to create a full-fledged NTA platform for small and medium-scale networks
Copyright
Copyright © 2025 C. Jitender . This is an open access article distributed under the Creative Commons Attribution License.
