Project description
Comprehensive cyber intelligence framework for collaborative manufacturing
Rapid advances in ICT are fostering a vision of future intelligent and autonomous manufacturing units. However, this vision is counterbalanced by an exponential increase in security risks and attack surfaces. To address such cybersecurity challenges, the EU-funded COLLABS project aims to develop, validate, demonstrate and support a comprehensive cyber intelligence framework for collaborative manufacturing. This framework will allow resilient, reliable and secure data exchange across the digital supply chain, and feature real-time response in threat prevention, detection and mitigation. Researchers will utilise state-of-the-art technologies and make significant scientific and technological advances in several key relevant domains. COLLABS' work will play a role in the realisation of industrial and societal opportunities with regard to collaborative manufacturing.
Objective
Industrial automation is expanding at an increasing pace, where this surge of innovation is driven by recent advances in information and communication technologies facilitating a “phase transition” towards “Industry 4.0”. Coupling Industrial Internet of Things (IIoT) with Big Data analytics and Artificial Intelligence (AI) in industrial automation context is what will make industrial systems intelligent, enabling them to exchange information and operate remotely. However, the vision of future intelligent and autonomous manufacturing units is counterbalanced by exponential increase in security risks and attack surfaces that emerge as the production systems grow ever more connected. The manufacturing ecosystem lacks a thorough cyber intelligence solution that addresses the key IIoT-related cybersecurity challenges towards a full realization of collaborative manufacturing in the context of Industry 4.0.
COLLABS will develop, validate, demonstrate, and support a comprehensive cyber-intelligence framework for collaborative manufacturing, which enables secure data exchange across the digital supply chain while providing high degree of resilience, reliability, accountability and trustworthiness, and addressing threat prevention, detection, mitigation, and real-time response. COLLABS will achieve these goals by utilizing state-of-the-art technologies and making significant scientific and technological advances in several key relevant domains, including secure multi-party computation and homomorphic encryption, distributed deep learning and anomaly detection, distributed ledger technologies (blockchain) and smart contracts, and distributed remote software attestation. COLLABS will significantly contribute to realizing industrial and societal opportunities of collaborative manufacturing, by validating and demonstrating its framework on 3 real-world use cases coming from complementary Industry 4.0 manufacturing domains and delivering an Industry 4.0 Experimentation Lab.
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.
- natural sciences computer and information sciences data science big data
- natural sciences computer and information sciences computer security cryptography
- social sciences sociology industrial relations automation
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
- natural sciences computer and information sciences data science data exchange
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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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H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
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.
RIA - Research and Innovation action
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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) H2020-ICT-2018-20
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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.
75015 Paris
France
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.