UMU participates in ROBUST-6G to advance 6G research in Europe

• Cybersecurity and Data Science Lab (CDL) participation in ROBUST-6G provides contributions to use of AI/ML in 6G security solutions.

• The vision of ROBUST-6G is to provide fundamental contributions to the development of data-driven, AI/ML-based security solutions to meet the new concerns posed by the dynamic nature of forthcoming 6G services and networks in the future cyber-physical continuum.

University of Murcia (UMU) announces its participation in the latest Smart Networks and Services Joint Undertaking (SNS JU) call with the ROBUST-6G project. This project is set to develop innovative solutions for 6G security technologies in Europe.

To address the demanding and diverse needs of the anticipated use cases, 6G networks must be highly programmable, exceedingly adaptable, and efficient. The additional levels of efficiency, programmability and flexibility will increase the complexity of managing and operating 6G networks. To manage this complexity, a paradigm shift towards complete automation of network and service management is required, and with it the need to protect the network services, infrastructure, and data against possible cybersecurity risks.

The ROBUST-6G project aims to address these cybersecurity risks by introducing cutting-edge approaches for security management of 6G networks at the physical, services and infrastructure levels. To achieve this aim, ROBUST-6G will design and implement a fully automated end-to-end smart network and service security management framework by utilizing Zero-touch network and Service Management (ZSM) and Artificial Intelligence/Machine Learning (AI/ML) techniques.

ROBUST-6G will study the robustness of distributed intelligence, privacy enhancements, and transparency in AI/ML while also promoting sustainable AI methodologies to achieve energy efficiency in 6G network design. The vision of ROBUST-6G is to optimize the computation requirements and minimize consumed energy while providing the necessary performance for AI/ML-driven functionalities, enabling sustainable solutions across society. In particular, UMU team will pave the path for distributed intelligence and explainable AI methodologies for 6G Security, as well as the E2E secure path for upcoming networks through a distributed and programmable secure monitoring platform for Cloud Continuum scenarios via automatic monitoring, threat detection, alarm generation.

The SNS JU is moving towards more detailed design and system optimization while integrating micro-electronics and sustainability as key dimensions. The aim is to build first-class 6G technology capacities across Europe that will strongly contribute to the standardization efforts.