ENSURE-6G
ENSURE-6G project will develop robust solutions to provide resilient 6G telecommunication infrastructure in the presence of both cyber and physical attacks in 6G networks. The rationale for the ENSURE-6G project is well justified due to the need for advanced and intelligent security and privacy-enhancing mechanisms deployed in practice within current mobile networks and the necessity of novel efficient mechanisms for future networks. ENSURE-6G will have a strong impact on the careers of all participating staff involved. It will equip them with cutting-edge technical and practical knowledge in the security and privacy of 6G technologies. It will create an opportunity to build a strong professional network and bond with industry partners beyond the projectโs completion date. The ENSURE-6G will aim to ensure that the EU is at the forefront of security and privacy requirements of 6G networks and that new security measures are designed to mitigate the risks associated with new 6G end user devices and users.
Consortium:
University College Dublin (Coordinator) –ย ๐ฎ๐ช
Delft University of Technology – ๐ณ๐ฑ
Montimage EURL – ๐ซ๐ท
University oF Sri Jayawardenapura – ๐ฑ๐ฐ
Vrije Universiteit Brussel – ๐ง๐ช
Zรผrcher Hochschule fรผr Angewandte Wissenschaften – ๐จ๐ญ
Trinity College Dublin – ๐ฎ๐ช
Telefรณnica Innovaciรณn Digital – ๐ช๐ธ
Luxembourg Institute of Science and Technology – ๐ฑ๐บ
รzyeฤin University – ๐น๐ท
Universidad de las Amรฉricas – ๐ช๐จ
Cumucore Oy – ๐ซ๐ฎ
Z-RED – ๐ฌ๐ท
Holon Institute of Technology – ๐ฎ๐ฑ
University of Portsmouth – ๐ฌ๐ง
Funded by: European Union
Total Budget: โฌ 1,577,800
Funding: HORIZON-MSCA-2023-SE-01
Additional Information
Website: ENSURE-6G

ROBUST-6G
The main ambition of the ROBUST-6G project is to develop a robust security platform for AI-driven autonomous adaptations of 6G, via secure, privacy-preserving, reliable, resilient, accountable, trustworthy, and sustainable capabilities. Zero-touch integrated security management in multi-tenant distributed AI deployments across 6G networks is the intrinsic approach for enabling this ambition in a pragmatic context, as the expected automation at the process level demands automation at the deemed security solutions. Evidently, all the specified features should be researched extensively to forecast their impact on the 6G security landscape and to achieve a holistic autonomous system that can serve the heterogeneity envisaged in 6G within a closed-loop context.
Consortium:
ERICSSON (Coordinator) – ๐น๐ท
TELEFONICA – ๐ช๐ธ
UNIVERSIDAD DE MURCIA – ๐ช๐ธ
CHALMERS – ๐ธ๐ช
UNIVERSITY COLLEGE DUBLIN – ๐ฎ๐ช
UNIVERSITA DEGLI STUDI DI PADOVA – ๐ฎ๐น
NEXTWORKS – ๐ฎ๐น
รCOLE NATIONALE SUPรRIEURE DE L’รLECTRONIQUE – ๐ซ๐ท
LINKOPINGS UNIVERSITET – ๐ธ๐ช
EURECOM GIE – ๐ซ๐ท
THALES – ๐ซ๐ท
GOHM ELEKTRONIK VE BILISIM SANAYI ๐น๐ท
AXON LOGIC – ๐ฌ๐ท
Funded by: European Union
Total Budget: TBA
Project Framework: EU Horizon Europe
Additional Information
Website: TBA

CONFIDENTIAL 6G
Jan 2023 - Dec 2025 CONFIDENTIAL6G emphasizes on privacy preservation and security of sensitive data by focusing on protection of data: โข In use. This is an unsolved issue with solutions just emerging with Confidential Computing. โข In transit. CONFIDENTIAL6G will enhance communication protection with post-quantum cryptography, blockchain technologies and secure data access control and traceability platforms. โข At the Edge. CONFIDENTIAL6G will work on specifying the post-quantum cryptographic approach most appropriate to cater for constrained Edge and IoT devices. Additionally, in order to avoid data movement from the Edge and increase trust and security, Federated AI/ML will be researched.
Consortium Members
Wings – ๐ฌ๐ท
Alcatel- Lucent – ๐ซ๐ท
Nokia – ๐ฉ๐ช
Telefonica – ๐ช๐ธ
TU Eindhoven – ๐ณ๐ฑ
Zentrix – ๐ช๐ช
TNO – ๐ณ๐ฑ
TU Graz – ๐ฆ๐น
UCD – ๐ฎ๐ช
FAU – ๐ฉ๐ช
IMDEA – ๐ช๐ธ
ULTRAVIOLET – ๐ท๐ธ
Funded by: European Union
Total Budget: โฌ384K
Project Framework: EU Horizon Europe
Additional Information
Website: Confidential 6G Project

SPATIAL
Sep 2021 - Aug 2024 SPATIAL will tackle the identified gaps of data issues and black-box AI by designing and developing resilient accountable metrics, privacy-preserving methods, verification tools and system solutions that will serve as critical building blocks for trustworthy AI in ICT systems and cybersecurity.
Consortium Members
TU Delft – ๐ณ๐ฑ
WithSecure – ๐ซ๐ฎ
Montemage – ๐ซ๐ท
Mainflux Labs – ๐ท๐ธ
Telefonica – ๐ช๐ธ
Fraunhofer Fokua – ๐ฉ๐ช
UCD – ๐ฎ๐ช
University of Tartu – ๐ช๐ช
NEC – ๐ฉ๐ช
Erasmus – ๐ณ๐ฑ
Australo – ๐ช๐ธ
MinnaLearn – ๐ซ๐ฎ
Funded by: European Union
Total Budget: โฌ402K
Project Framework: EU H2020
Additional Information
Website: Spatial H2020 Project
ARMOR
The ARMOR project will focus on developing an adversarial testing framework to evaluate the security and robustness of ML models deployed in 6G O-RAN. The experiment will simulate a variety of adversarial attack scenarios that target AI-based decision-making models, to understand their vulnerabilities and improve their resilience.
Collaboration:
- Netslab, UCD (Lead)
- University College Dublin (UCD)
- NovaUCD
- 6G-SANDBOX
Funded by: 6G-SANDBOX (HORIZON-JU-SNS-2022-STREAM-C-01-01)
Total Budget: โฌ 60, 000
Additional Information
Website: ARMOR