Detection of Network Intrusions using Machine Learning

The aim of this project is to design and develop a software solution intended for enterprises to use to detect and classify intrusions and abnormalities in their network. If any such anomalies are detected, a designated administrator is notified to facilitate appropriate action. Machine learning is used to detect any such anomalies in the enterprise network. Our focus is on detecting and classifying DoS attacks.