SAFE-6G

SAFE-6G, or “A Smart and Adaptive Framework for Enhancing Trust in 6G Networks,” is a European research initiative under the Horizon Europe program. It aims to establish a trustworthiness framework for 6G networks, leveraging AI and machine learning to ensure safety, security, privacy, resilience, and reliability. This user-centric approach reimagines 6G as a system tailored to individual needs, moving beyond traditional one-size-fits-all models. SAFE-6G’s strategic principles focus on human-centric design, zero-trust security, and cognitive coordination. The project emphasizes balancing privacy with quality of service, ensuring that 6G networks are both efficient and secure. It also integrates explainable AI to enhance transparency and trust in decision-making processes. The consortium behind SAFE-6G includes a diverse group of partners from academia, industry, and research institutions across Europe. These collaborators bring expertise in telecommunications, AI, and cybersecurity to achieve the project’s ambitious goals. The University of West Attica (UNIWA) plays a crucial role in the SAFE-6G project by providing the user-centric Reliability function and developing models for anomaly detection in metaverse services.

Project Τitle: SAFE-6G (A Smart and Adaptive Framework for Enhancing Trust in 6G Networks)

Project Duration: 36 months

Project URL: https://safe-6g.eu/

Project Framework & Funding: SAFE-6G has received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union’s Horizon Europe research and innovation programme under Grant Agreement No101139031

Scientific coordinator (UNIWA): Panagiotis Karkazis

Consortium – Partners:

  • Telefónica Innovación Digital (TID)
  • National Center for Scientific Research “Demokritos” (NCSRD)
  • Thales SIX GTS France SAS (THA)
  • Atos IT Solutions and Services Iberia (ATOS)
  • University of West Attica (UNIWA)
  • Space Hellas (SHG)
  • Infolysis (INF)
  • EBOS Technologies (EBOS)
  • Universitat Politècnica de València (UPV)
  • Eight Bells (8BELLS)
  • CumuCore (CMC)
  • Immersion (IMM)
  • Inqbit Innovations (IQBT)

Research Publications / Results / Patents

Journal Papers

  • Nikolaos I. Miridakis, Theodoros A. Tsiftsis, Panagiotis A. Karkazis, Helen C. Leligou, Petar Popovski (University of West Attica), “Impact of Inter-Operator Interference via Reconfigurable Intelligent Surfaces”, IEEE Wireless Communications Letters, July 2024. DOI: 10.1109/LWC.2024.3425728
  • Stelios Prekas ,Panagiotis A. Karkazis, and Panagiotis Trakadas (UNIWA), Path Algebra-Driven Classification Solution to Realize User-Centric Performance-Oriented Virtual Network Embeddings, MDPI Telecom 2024, 5(4), 1129-1160: https://doi.org/10.3390/telecom5040057
  • Stamatia F. Drampalou; Dimitris Uzunidis; Anastasios Vetsos; Nikolaos I. Miridakis; Panagiotis Karkazis (University of West Attica) “A User-Centric Perspective of 6G Networks: A Survey”, IEEE Access Volume: 12, DOI: https://ieeexplore.ieee.org/document/10795171

Conference Papers

  • N. Gkatzios (INFOLYSIS P.C.), H. Koumaras (NCSR “DEMOKRITOS”), D. Fragkos (NCSR “DEMOKRITOS”), V. Koumaras (INFOLYSIS P.C.), “A Proof of Concept Implementation of an AI-assisted User-Centric 6G Network”, EuCNC 2024 & 6G Summit, Antwerp, Belgium 2024. DOI: https://ieeexplore.ieee.org/abstract/document/10597020
  • C. Betzelos, D. Uzunidis, H. Leligou, P. Karkazis, “Enhancing Reliability in 6G Networks Based on User-Driven AI”, in Proceedings IEEE CAMAD 2024, October 2024 (Accepted paper)
  • Apostolis Garos, Nikos Alabasis, Victoria Katsarou, Georgios Gardikis, Dimitris Santorinaos, Maria Christopoulou “Performance comparison of NWDAF-based security analytics techniques in 5G/B5G networks”, in Proceedings IEEE CAMAD 2024, October 2024 (Accepted paper)
  • Vaios Bolgouras, Aristeidis Farao, Christos Xenakis, “Roadmap to Secure 6G Networks” in Proceedings IEEE CAMAD 2024, October 2024 (Accepted paper)
  • I. Alexandropoulos, V. Rentoula, D. Fragkos, N. Gkatzios, “An AI-assisted User-Intent 6G System for Dynamic Throughput Provision”, in Proceedings IEEE CAMAD 2024, October 2024 (Accepted paper)

White Papers

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