Advanced Machine Learning-based Fifth Generation Network Attack Detection System

The project goal is to prove that enhancing attack detection via innovative machine learning and artificial intelligence techniques into the fifth generation (5G) cellular network can help to secure mission-critical applications, such as automated vehicles and drones, connected health, emergency response operations, and other mission- critical devices that either are or will be connected to the 5G cellular network.