Develop and support a comprehensive cyber-intelligence framework for collaborative manufacturing that supports data exchange across the digital supply chain, threat prevention, detection, mitigation, and real-time response. Validate, demonstrate, and carry out experimental evaluation of the proposed framework on three realworld Industry 4.0 manufacturing scenarios.
Provide scientific and technological advances in IIoT-based digital collaboration and security in the context of Industry 4.0, including technologies on cyber-security and protection, secure multi-party computation and homomorphic encryption, (distributed) machine (deep) learning and anomaly detection, and distributed ledger technologies (blockchain), which are orchestrated and leaned towards the comprehensive cyber-intelligence framework for digital collaboration.
Provide novel tools and services for enabling collaborative manufacturing, leveraging innovative secure execution environments, novel mechanisms related to security, privacy, accountability and trustworthiness, that will offer effective means for digital collaboration and data exchange, malicious and anomalous behaviour detection, mitigation, and (near) real-time response.
Facilitate a secure exploration of IIoT’s full potential in collaborative manufacturing environments and realise societal and industrial opportunities by validating COLLABS framework in real-world settings via complementary use cases driven by large industries.
Consolidate international and European links, raise awareness, collaborate with standardisations bodies and ensure the technology transfer of project’s results.
Boost the effectiveness of the European Security Union in the domains of secure collaborative manufacturing, by offering high TRL solutions (TRL 6-7), and by ensuring business continuity and long-term sustainability, during and after the project lifetime.