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 (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 political sciences political policies public policies
- natural sciences computer and information sciences internet internet of things
- natural sciences computer and information sciences software
- natural sciences biological sciences ecology ecosystems
- natural sciences computer and information sciences computer security
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
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.
-
HORIZON.2.3 - Civil Security for Society
MAIN PROGRAMME
See all projects funded under this programme -
HORIZON.2.3.3 - Cybersecurity
See all projects funded under this programme
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-IA - HORIZON Innovation Actions
See all projects funded under this funding scheme
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-CL3-2023-CS-01
See all projects funded under this callCoordinator
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.
731 00 CHANIA
Greece
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.