Port-Based Classification of Network Traffic Analysis using the ColaSoftCapsa Tool for Enhanced Cybersecurity

With the growing threat of cyberattacks and digital crimes, it is imperative that we have robust mechanisms to detect and prevent hostile behavior. Network Traffic Analysis (NTA) is an important aspect of cybersecurity that focuses on collecting, recording, monitoring and evaluating network traffic patterns This study presents a new theoretical framework for NTA aimed at network improve security through malicious packet detection and prevention Planning Critical insights from network traffic data Uses ML and data mining techniques to derive, facilitating detection of anomalies and potential security breaches so This approach provides a comprehensive and strategic approach to NTA, effectively addressing the challenges associated with early detection and classification of malicious network activity.