Master of Engineering Scholarship on "Scalable Traffic Classification in Internet of Things (IoT) for Network Anomaly Detection"

The Internet of Things (IoT) comprises large numbers of heterogeneous simple devices running single applications, often with little to no security features making them easily compromised and used as tools in cyberattacks. Any form of disruption in network connectivity due anomalies can result in adverse consequences, ranging from loss of productivity and revenue, to destruction of critical infrastructure and loss of life. We need to be able to classify new traffic types coming from IoT devices accurately and promptly, so that anomalous traffic can be identified and dealt with quickly.