A Digital Twin Network for Security Training in 5G Industrial Environments

Abstract

The evolution of next-generation mobile networks (5G, 6G…) is highly related to the latest virtualisation technology, which exposes it to new cyber-attack vectors. Therefore, there is an increasing need to train cybersecurity experts in the use of appropriate tools to prevent network attacks, especially those applied in mission-critical industrial environments. To meet this need, there are systems called cyber ranges that can be seen as an exemplification of a digital network twin. SPIDER is a cyber range specially oriented to train experts in next-generation network cybersecurity. In this paper we present how SPIDER is augmenting cyber range environments with ML tools, how it works and the way in which it can be used to train new experts.