5G DDoS Simulation, Machine Learning Models & Multi-Access Edge Computing Applications for Attack Detection and Prevention
The increasing use of 5G networks and their application in critical services makes them vulnerable to Distributed Denial of Service (DDoS) attacks. This thesis investigates the detection and mitigation of DDoS attacks in 5G networks using machine learning (ML) methods. In particular, it analyses two exciting convolutional neural network (CNN)-based models: the LUCID model and the Mohak model, and
