This report targets the design and the development of the TeraFlow OS Security and Integration components that are essential for future network security. These components will build upon and also enhance base technologies. For instance, the Cybersecurity component will use advanced machine learning (ML) techniques for analysing network traffic to detect intrusions and malicious network traffic and protect the network against sophisticated attacks to ML components. In order to avoid scalability and latency problems, a hybrid central and edge ML architecture will be designed. The Distributed Ledger Technology component will provide novel security solutions based on Blockchain technologies that decentralize critical and sensitive data and services of the TeraFlow OS. Furthermore, the Compute Integration and Inter-domain components will provide mechanisms and interfaces for the integration of network resources, possibly from other domains, and the connection to other networks, respectively.
WP4 Network security and interworking across B5G networks