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Protection and privAcy of hospital and health iNfrastructures with smArt Cyber sEcurity and cyber threat toolkit for dAta and people

Deliverables

Human Factors, Threat Models Analysis and Risk Quantification in HCC

Output of the work carried out in T2.2, describing multi-dimensional threat models where qualitative and quantitative risk indicators will trigger appropriate countermeasures.

Dynamic Risk Management Platform High-Level Design - Update

Output of the design phase for the secure information sharing platform of T 3.1 (update)

Panacea User Requirements

Output of the work carried out in T1.2, User requirements from the different PANACEA stakeholders

Analysis of cyber vulnerabilities and SoA countermeasures in HCC

Output of the work carried out in T2.1 presenting main vulnerabilities and state-of-art countermeasures for cyber threats in health care domain as starting point for the research advancements foreseen in this WP.

Secure Information Sharing Platform High-Level Design - Update

Output of the design phase for the secure information sharing platform of T 3.1 (update)

Models of health services and of medical device lifecycle for cybersecurity

Models of health services and of medical device lifecycle for cybersecurity: This deliverable is the output of the work carried out in T1.1 in terms of models of health services.

Advanced Response Methods

Output of the work carried out in T2.3 where advanced analytic models for the definition of a set of countermeasure will be done, in order to be implemented in the related Resilient Response component (T3.4).

Secure information sharing, interconnectivity, cloud, authentication and interoperability aspects

Output of work of T2.6 related to interconnectivity, cloud and identification/authentication systems. The work will be implemented in T3.5 and T4.2.

Data Management Plan

Report describing the data management life cycle for the data to be collected, processed and/or generated by a Horizon2020 project. As part of making research data findable, accessible, interoperable and re-usable (FAIR), a DMP include information on: 1) the handling of research data during and after the end of the project; 2) what data will be collected, processed and/or generated; 3) which methodology and standards will be applied; 4) whether data will be shared/made open access and 5) how data will be curated and preserved (including after the end of the project).

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