Intelligent Threat Hunting in Software-Defined Networking
Steven Schmitt, Farah I. Kandah, Dylan Brownell · 2019
The emergence of Software-Defined Networking (SDN) has brought along a wave of new technologies and developments in the field of networking with hopes of dealing with network resources more efficiently and providing a foundation of programmability. SDN allows for both flexibility and adaptability by separating the control and data planes in a network environment by virtualizing network hardware. We, in this work, present an advanced threat hunting model by combining the SDN infrastructure with threat hunting techniques and machine learning models aiming to intelligently handle network threats such as denial of Service, repeat, and main in the middle attacks. This advancement enables the handling of dynamic network traffic in areas such as smart cities and autonomous vehicles more efficiently by rapidly mitigating network threats.