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.