A Machine Learning Intrusion Detection System

Creation of a Machine Learning Model that uses network data to determine the health of the host network in real time.

Create a Machine Learning (ML) Model that will take active data from a host network and give everything a risk level, that will intern give a rating of possible increased activity of bad actors. The system will be taught by previous network data and MITRE framework terminology. The risk levels will be based on a risk assessment of the information gathered and its impact on the host network. It will be displayed as a “Risk Level”, where the higher the percentage, the better the network is protected. IE: A Max score is a network in which bad actors are unable to get in, or exfil data.

Team Members

Advisors