Project description
AI cybersecurity solutions for 6G infrastructure
The evolution of 5G and the emergence of 6G by 2030 have accelerated technological progress, highlighting the necessity for 6G networks to be more programmable, adaptable, and efficient. This drive underscores the importance of full automation to effectively manage and operate the increasingly complex infrastructure of 6G. However, with full automation comes heightened cybersecurity risks. The EU-funded ROBUST-6G project aims to address these heightened cybersecurity risks by developing several artificial intelligence (AI) and machine learning (ML)-based solutions. These solutions will focus on advancing AI/ML cybersecurity, implementing zero-touch security management, ensuring privacy and security, promoting energy efficiency and sustainability, and safeguarding AI/ML systems from security breaches.
Objective
There is a strong upcoming need for communication and beyond technology on the 2030 horizon, with the transformations having been set in motion by 5G, and increasing expectations in society, accelerated by advancements in enabling technology, and moving toward new services and use cases. To address the demanding and diverse needs of the anticipated use cases, 6G networks must be highly programmable, exceedingly adaptable, and efficient. Nevertheless, the additional level of efficiency, programmability and flexibility will come at the expense of increasing complexity in managing and operating 6G networks. To bring this complexity under control, a paradigm shift toward complete automation of network and service management is required. However, a significant obstacle to full automation is the protection of the network services, infrastructure and data against possible cybersecurity risks introduced by the unheard-of expansion of the 6G threat landscape. ROBUST-6G aims to address these cybersecurity risks by 1) providing fundamental contributions to the development of data-driven, AI/ML-based security solutions to meet the new concerns posed by the dynamic nature of the future cyber-physical continuum 2) implementing fully autonomous zero-touch security management functionalities 3) exposing security functionalities to verticals and providing necessary data management 4) protecting AI/ML systems from security attacks and ensuring privacy of individuals whose data is used in the AI-driven systems. 5) providing secure, privacy-preserving and robust distributed intelligence with transparency enhancements by elaborating the explainability in AI/ML 6) achieving energy efficient 6G network design with green and sustainable AI methodologies 7) leveraging different sources of information, ranging from sensing, positioning to authentication, and advanced AI/ML methodologies for detection and mitigation of physical layer attacks and threats.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences sociology industrial relations automation
- natural sciences computer and information sciences computer security
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.4 - Digital, Industry and Space
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-JU-RIA - HORIZON JU Research and Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-JU-SNS-2023
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
34469 Istanbul
Türkiye
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.