Objectives

Objective 1: Analysis of anticipated 6G architecture and scenarios, identification, and characterization of the threat landscape in an AI-driven 6G Network based on globally connected heterogeneous environments.

Objective 2: To develop a holistic E2E 6G security architecture with inherent AI functionalities that will seamlessly integrate different functions in a heterogeneous network environment, enabling 6G scenarios with high security requirements.

Objective 3: To develop methodologies for ensuring that AI-driven security functionalities are robust, sustainable (in terms of energy efficiency), explainable, effective (in terms of performance) and preserving privacy in all aspects.

Objective 4: Automatic, zero-touch, security, and resource management for trusted and certified services among multiple stakeholders in distributed dynamic scenarios

Objective 5: AI/ML-enabled smart techniques to detect and mitigate physical layer attacks on network and user devices and to propose novel physical layer security schemes for demanding scenarios (low latency, low energy consumption, and low complexity), taking into account new radio technologies for 6G

Objective 6: Showcase and validate the ROBUST-6G innovations by means of Proof of Concept (PoC) demonstrations through the use case scenarios.

Objective 7: Carry out extensive dissemination, standardisation, and exploitation activities.