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Funded Projects › HORIZON

ROBUST-6G · SmaRt, AutOmated, and ReliaBle SecUrity Service PlaTform for 6G

HORIZONStatus: SIGNED1 January 202430 June 2026EU funding €3,999,957Call HORIZON-JU-SNS-2023

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.

Consortium · 14 organisations

coordinator

ERICSSON ARASTIRMA GELISTIRME VE BILISIM HIZMETLERI ANONIM SIRKETI

TR · €343,125

participant

LINKOPINGS UNIVERSITET

SE · €247,869

participant

NEXTWORKS SRL

IT · €369,000

participant

UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN

IE · €394,063

participant

THALES SIX GTS FRANCE SAS

FR · €304,670

participant

UNIVERSITA DEGLI STUDI DI PADOVA

IT · €314,875

participant

ECOLE NATIONALE SUPERIEURE DE L'ELECTRONIQUE ET DE SES APPLICATIONS

FR · €381,563

thirdParty

CY CERGY PARIS UNIVERSITE

FR

participant

UNIVERSIDAD DE MURCIA

ES · €336,750

participant

TELEFONICA INNOVACION DIGITAL SL

ES · €352,643

participant

EURECOM GIE

FR · €241,806

participant

GOHM ELEKTRONIK VE BILISIM SANAYI TICARET LIMITED SIRKETI

TR · €231,750

participant

AXON LOGIC IDIOTIKI KEFALAIOUXIKI ETAIREIA

EL · €214,875

participant

CHALMERS TEKNISKA HOGSKOLA AB

SE · €266,969

Research fields

View the official record on CORDIS →

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Source: CORDIS, Publications Office of the European Union. Global Research Partnerships surfaces open EU research data to help you find collaborators; we are not affiliated with the European Union.