The European health care system is moving toward personalised, distributed, and home-based services. This is made possible via new and improved connected medical devices (MDs) and in vitro diagnostic devices connected to the internet (together, CMDs), and will benefit health care providers in terms of reduced cost (fewer hospital beds) and improved service. Patients will see improved quality of life in terms of reduced travel time and reduced stress via treatment at home or where they want it. However, for these benefits to be fully realised, the cybersecurity of CMDs needs to be ensured. NEMECYS will benefit practitioners such as cybersecurity communities, MD manufacturers, CMD scenario system integrators and CMD scenario operators (e.g. health care providers), with downstream benefits to patients and the wider public, through more cost-effective and efficient care enabled via effective and streamlined cybersecurity. NEMECYS helps practitioners to (1) comply with MD regulations; (2) to be able to apply proportionate MD cybersecurity (too little security risks exposure, too much is costly and can obstruct clinical care) and (3) build in cybersecurity by design for both MDs and the connected scenarios they operate in. This is achieved by (1) providing recommendations for best practice and guidelines for MD cybersecurity by design, along with compliance assurance tooling; (2) providing a risk-benefit scheme to address cybersecurity risk balanced with clinical benefit; and (3) providing a set of specific tools to address MD cybersecurity by design and their deployment in connected scenarios. The NEMECYS team has cybersecurity risk experts, two hospitals who are already implementing IoT and remote care-based scenarios, three medical device manufacturers, major computer science research players and experienced systems integrators. This team is ideally placed to ensure that NEMECYS can enable practitioners to apply the right security at the right place, at low cost.

Data analytics is one of the main cornerstones in many enterprise architectures and the data lake paradigm is more and more adopted to assist organizations in taking reliable, accurate, and fast decisions. Although the initial approaches to address these issues saw the data lakes as the evolution of data warehouses to be implemented on-premises, cloud providers are nowadays including in their offerings platforms able to setup and run them. Nevertheless, the increasing amount of data generated at the edge and the need to enable the data sharing among organizations are posing new challenges in terms of performances, energy efficiency, and privacy/confidentiality which can be properly addressed with data lakes which are deployed along the whole computing continuum as well as building a federation of such data lakes. The ambition of TEADAL is to provide key cornerstone technologies to create stretched data lakes spanning the cloud-edge continuum and multi-cloud, providing privacy, confidentiality, and energy-efficient data management. The TEADAL data lake technologies will enable trusted, verifiable and energy efficient data flows, both in a stretched data lake and across a trustworthy mediatorless federation of them, based on a shared approach for defining, enforcing, and tracking privacy/confidentiality requirements balanced with the need for energy reduction.