Résumé des résultats (Abstract)
(Anglais)
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The project aims to establish a robust security framework for 6G ecosystems, underpinned by the zero-trust principle
and emphasizing core tenets like resilience, privacy, and dependability. Dynamic access control via a context-aware riskbased
policy engine, leveraging rich cyber-threat intelligence and behavioral insights gathered from the 6G infrastructure,
is at the core of the proposed approach. Micro-segmentation of vulnerable virtualized functions from critical O-RAN
assets is a primary goal to prevent attackers’ lateral movement capabilities and minimize damage. Proactive security
measures, will be deployed alongside sophisticated AI tools to optimize attack
surface reduction and enhance intrusion detection capabilities. An intelligent extended detection and response solution
will be developed, covering all layers of a 6G network; this entails the integration of collaborative intrusion detection
networks and graph-based threat models, facilitating real-time and optimal responses to sophisticated multi-stage attacks
targeting the 6G ecosystem. Automation will be pivotal in various aspects, including threat modeling, and response
orchestration, aided by blockchain to secure integration and lifecycle management of 6G applications. Moreover, the
project will prioritize supply chain security by implementing automated vulnerability scanning and introducing O-
RAN application certification. Quantum-safe technologies (QKD and PQC) and AI-driven solutions will be employed
to safeguard against physical layer attacks, ensuring uninterrupted and secure data transmission in 6G networks.
Additionally, privacy-preserving and trusted AI/ML schemes will be developed upholding principles like fairness,
explainability, and sustainability to ensure high energy efficiency and minimal environmental footprint of the proposed
solutions. These efforts aim to ensure that critical 6G communications infrastructure achieves high security and resilience
of against evolving cyber-threats.
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