For my master’s
                                dissertation, worked on how AI can be used to detect unusual behaviours or intrusions in
                                a virtual infrastructure like
                                Kubernetes. Created and deployed a microservices architecture that captured packets,
                                processed them, scored them
                                using an ML model and displayed the results on a dashboard. This was deployed locally on
                                minikube and on Azure
                                Kubernetes Services. Intrusion on the deployed WordPress website was simulated using
                                WPScan and a password
                                dictionary. ML/DL techniques like IsolationForest, DBSCAN and autoencoders were analysed
                                for this project.