ML-Based Network Anomaly Detection

This paper introduces an anomaly detection system empowered by machine learning to address the shortcomings of traditional signature-based methods in combating modern cyber threats like zero-day exploits and encrypted traffic.By leveraging machine learning, this system offers dynamic and proactive protection against evolving threats in global communications impacted by the Internet.This research explores the transformative role of machine learning in enhancing cybersecurity, emphasizing the need for adaptive defenses in response to continually evolving cyber threats.