TeraFlow proposes a new type of secure, cloudnative Software Defined Networking controller that will radically advance the state-of-the-art in beyond 5G networks by introducing novel micro-services architecture and providing revolutionary features for flow management and optical/microwave network equipment integration. Two key contributions of this project will be the incorporation by design in the TeraFlow controller of (i) security using advanced Machine Learning (ML) techniques both in the data and control planes and (ii) forensic evidence for multitenancy based on Distributed Ledgers. This paper presents the TeraFlow Cybersecurity scenario, which will be used to evaluate some of the proposed contributions.

Grant numbers : AURORAS - Autonomic and disaggregated optical networks leveraging edge computing and photonic technologies ( RTI2018-099178-B-I00) project.