P2.44s Deep Learning Intrusion Detection System for Smart Satellite Networks Based on Software Defined Networking
Advanced Satellite Systems, Sensors & Intelligence
Uakomba Uhongora, University of South Australia
The project will focus on detecting anomalous traffic within SDN-based smart satellite networks using Deep Learning (DL). As IoT devices are growing at an exponential rate, so does the threats and vulnerabilities faced by IoT. As the world is migrating to the Fourth Industrial Revolution (4IR), there will be a heightened growth of IoT systems that will be required to maintain uninterrupted connectivity on a large scale.