Network Traffic Analysis Using Sniffer
Miss. Shreya K · International Journal for Research in Applied Science and Engineering Technology · 2025
The growing sophistication of digital networks has been matched by the proliferation of cyber threats, from email and global ransomware phishing to identity theft or fraud or more sophisticated denial-of-service attacks. Although it helps in a lot of cases, traditional network monitoring systems are still expensive and resource intensive, leaving a void that needs to be filled with a lightweight yet strong solution. This challenge has propelled the creation of tools which can capture network traffic in real-time, perform deep-packet analysis, and detect anomalies quickly. Experimental study shows that the tool can accurately capture and analyze live traffic streams, detect anomalous patterns of activity, and prevent fully detailed logs for forensic analysis. Performance testing ensures the system works well with multiple network traffic loads offering proper output without big latencies and packet loss.