Predictive Analysis And Transparency In Network Traffic

Authors: Assistant Professor Usha C R, Pratibha, Preeti B K, Ranjana N J, Rashmi R H

Abstract: Network traffic analysis is a critical process in cybersecurity and network management that involves monitoring, capturing, and examining data packets transmitted across a network. The primary goal is to understand network behavior, identify anomalies, and detect malicious activities such as intrusions, data breaches, or distributed denial-of-service (DDoS) attacks. Modern traffic analysis employs techniques from machine learning, deep packet inspection, and statistical modeling to uncover hidden patterns and predict threats. By analyzing traffic in real-time or through historical logs, organizations can enhance their network performance, enforce security policies, and ensure compliance with regulatory standards. This paper explores key methodologies, tools, and challenges in network traffic analysis, emphasizing its pivotal role in securing modern digital infrastructures.