NFV-driven intrusion detection for smart manufacturing
Daniel L. Behnke, Marcel Müller, Patrick-Benjamin Bök, Stefan Schneider, Manuel Peuster, Holger Karl, Alberto Rocha, Miguel Mesquita, José Bonnet · 2019
The significant progress in softwarization of hardware components with technologies like Network Function Virtualization (NFV) enables manifold applications for the industry, especially for smart manufacturing. The gained agility and flexibility leverages data gathering and analysis. In this work, we focus on a very important precondition for networked manufacturing: cyber security. We provide concepts and a first proof-of-work for an cloud-native NFV-driven Intrusion Detection System using Kubernetes, stating challenges we solved during the process and the used software tools. Focusing on traffic monitoring and filtering to enable certain guidelines to ensure the integrity of the factory network by an automatic reconfiguration of the Network Services.