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Published January 1, 2024 | Version v1
Conference paper Open

ROBUST-6G: Smart, Automated, and Reliable Security Service Platform for 6G

Creators

  • 1. Univ Coll Dublin, Dublin, Ireland
  • 2. GOHM, Mugla, Turkiye
  • 3. Ericsson Res, Istanbul, Turkiye
  • 4. Univ Padua, Padua, Italy
  • 5. CNRS, ENSEA, Paris, France
  • 6. Nextworks, Rome, Italy
  • 7. Univ Murcia, Murcia, Spain
  • 8. Chalmers Univ Technol, Gothenburg, Sweden
  • 9. Linkoping Univ, Linkoping, Sweden
  • 10. EURECOM, Biot, France

Description

In the progressive development towards 6G, the ROBUST-6G initiative aims to provide fundamental contributions to developing 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. This aim has to be accompanied by the transversal objective of protecting AI/ML systems from security attacks and ensuring the privacy of individuals whose data are used in AI-empowered systems. ROBUST-6G will essentially investigate the security and robustness of distributed intelligence, enhancing privacy and providing transparency by leveraging explainable AI/ML (XAI). Another objective of ROBUST-6G is to promote green and sustainable AI/ML methodologies to achieve energy efficiency in 6G network design. The vision of ROBUST-6G is to optimize the computation requirements and minimize the consumed energy while providing the necessary performance for AI/ML-driven security functionalities; this will enable sustainable solutions across society while suppressing any adverse effects. This paper aims to initiate the discussion and to highlight the key goals and milestones of ROBUST-6G, which are important for investigation towards a trustworthy and secure vision for future 6G networks.

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