Multi facEteD ImplementAtion of a mixed sofTwarE/hardware-based zero-trust framework for the computing continuumcore
MEDIATE · Horizon Europe grant · 2024-11-01–2027-10-31
EC contribution
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About the data
Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-CL3-2023-CS-01 · scheme HORIZON-IA · topic HORIZON-CL3-2023-CS-01-01. CORDIS record →
Objective
Technological advances in Information communication Technologies (ICT) as well as the digital transformation of complex systems have led to the development of novel networks, platforms and systems, which have, in turn, kick-started the realisation process for multi-faceted technological collaborations and data-driven workflows on a scale never seen before. Consequently, an integration process among the different layers of complex systems and services has been unfolding raising significant issues and challenges in its wake. Hence, the digital data and collaboration spaces are all predicated upon the realisation of what is known as the computing continuum, which is based on the integration of cloud, edge and Internet of Things (IoT). Nevertheless, this has given rise to significant security and privacy risks especially since it is about systems that involve a high number of entities and devices with different profiles, processing a vast amount of potentially sensitive infoMEDIATE’s vision is to produce a robust technology, which will address the security and privacy attributes of the computing continuum. For this, it will put forth a complex architecture that is based on the concept of zero-trust and will assume a federated learning approach in order to perform security-based scrutinisation at all continuum levels. i.e. IoT, edge and cloud, using security models that can be updated, redistributed and reconfigured across it. The actual features of the MEDIATE framework will support major topic outcomes such as cybersecurity resilience through reconfiguration, vulnerabilities mitigation through cyber threat analysis, secure integration at the IoT level through software and hardware-based security sensors and trust and security for massive ecosystems through the use of federated learning-based orchestration. Moreover, it will feature AI-based tools for cyber threat intelligence that assist a decision support system and privacy policies for data and identity protection.
Beneficiaries (15)
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