N AT I O N A L C Y B E R S E C U R I T Y ST R AT E GY I V PA R T N E R S H I P P R O G R A M M E SnT is guided by the principle that excellent scientific research can address the most pressing challenges society faces, while supporting industry in developing solutions. This foundation defines its set-up. SnT has a partnership model that enables collaborative research with players from the private and public sector, addressing relevant challenges based on real-world data and systems. This approach creates a lively ecosystem that feeds the local talent pool and supports the local economy. In the area of cybersecurity, SnT has partnerships with Huawei, CREOS, VAIL, Proximus, QRA, Ministry of Foreign Affairs (Department of Cooperation) and MEGENO. Luxembourg/West Africa Lab for Higher Education Capacity Building in Cybersecurity (LuxWAyS) is the latest example of a partnership in cybersecurity. LuxWAyS is an ambitious project for higher education cooperation between Luxembourg and the target countries of Luxembourg cooperation. LuxWAyS aims at training cybersecurity experts (€ 1.5 M – ten PhD students over five years) within the West Africa sub-region in collaboration with the Université Cheikh Anta Diop de Dakar (UCAD), Senegal; Université Joseph Ki-Zerbo (UJKZ), Burkina Faso; and the Université Virtuelle du Burkina Faso (UVBF), Burkina Faso. RESEARCH GROUPS Teams across SnT currently execute more than 40 projects relating to cybersecurity. Furthermore, SnT is the only organisation in Europe with a presence in three of the four H-2020 networks, underlining its reputation in the domain (CONCORDIA, Cybersecurity for Europe, SPARTA). Among SnT’s 15 research groups, five groups focus on cybersecurity: CRITICAL AND EXTREME SECURITY AND DEPENDABILITY (CRITIX) Interim head – Prof. Marcus Voelp • Withstand extreme levels of threat, such as advanced persistent threats – considering critical information infrastructures CritiX pursues state-of-the-art research in a problem area that may be described as extreme computing – computer science and engineering pushed to the extremes of functional and non-functional properties of systems. Amongst others, they investigate architectures, middleware, algorithms and protocols that may find applicability in distributed systems and networks, which, for example: • Need to have extremely low failure probability – considering high-criticality areas such as finance, energy, networking (SDN), or aerospace and autonomous vehicles • Present extreme requirements with regards to data privacy and integrity – considering e-health, genomics, or business/finance • Deploy extremely large-scale data sets, flows and computations – considering cloud, big data, complex event processing 33