Project description
Zero trust-based architecture and federated learning enhance computing security
Digital data spaces and collaboration rely on the integration of cloud, edge and internet of things (IoT) — the so-called computing continuum. The vast number of entities and devices involved in processing the huge volume of potentially sensitive information has created important security and privacy risks. The EU-funded MEDIATE project aims to develop a robust technology based on the concept of zero trust and using AI-based tools to address this. Its federated learning approach will perform security-based scrutinisation at all continuum levels using security models that can be updated, redistributed and reconfigured across it. It will enable cybersecurity resilience, mitigation of vulnerabilities, and heightened trust and security.
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 info
MEDIATE’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.
Fields of science
- natural sciencescomputer and information sciencesinternetinternet of things
- natural sciencescomputer and information sciencessoftware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesbiological sciencesecologyecosystems
- natural sciencescomputer and information sciencescomputer security
Keywords
Programme(s)
Funding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
731 00 Chania
Greece