The overall goal of the SECURED project is to scale up multiparty computation, data anonymization and synthetic data generation, by increasing efficiency and improving security, with a focus on private and unbiased artificial intelligence and data analytics, health-related data and data hubs, and cross-border cooperation. The project will address the limitations that are currently preventing the widespread use of secure multiparty computation and effective anonymization, namely: the limited practical capabilities of current cryptographic schemes for secure multi-party computation protocols, and their performance; the lack of well understood and standardized data anonymization methods for health data; the absence of dynamic and on demand services for generating synthetic data; the complex and ad-hoc nature of current federation protocols for machine learning and AI-based data analytics; the lack of support for health technology providers to implement privacy enhancing technologies, in particular SMEs. SECURED will tackle these challenges by focusing on scaling up privacy technologies via algorithmic improvements and implementation efficiency (HW and SW), as well as the generalization of primitives and definitions, with the aim of speeding up and facilitating privacy preserving data-driven tools and services for wellbeing, prevention, diagnosis, treatment and follow-up care. SECURED will also analyse the current ethical and legal challenges to data sharing, and is targeted at overcoming current limited adoption of advanced multi-party computation and data anonymization technologies by providing direct support to health technology SMEs through a funding call. To ensure relevance to real-world settings, SECURED will showcase the technologies developed in four health-related use cases provided by partner hospitals and health stakeholders, namely: real-time tumor classification; telemonitoring for children; synthetic data generation for education; access to genomic data.

The goal of this ETN is to develop advanced cryptographic techniques for the Internet of Things and the Cloud and to create implementations that offer a high level of security and increased usability, for a wide range of physical computation platforms. The ITN will equip a group of 15 early stage researchers with a set of interdisciplinary skills combining mathematics, computer science and electrical engineering that will allow them to create advanced cryptographic solutions that will be available for commercial applications. The 8 partners (including 2 companies) are leading research teams in the area of applied cryptology with a strong track record of collaboration; it is complemented by 6 partner organisations from industry (including 2 SMEs).The training from the ERSs will be guided by a personal development plan. A central component is training by research supported by an intensive program of workshops, summer schools, seminars, research visits, and secondments. The training will be complemented with transferable skills that also support the transfer of research to an industrial context. The management structure of the project is built on a pro-active approach with responsibilization of the fellows. The dissemination and outreach of the project activities target a broad range of stakeholders. The ITN contributes to the ERA by helping to overcome the fragmentation in the area of applied cryptology. The research supports the trust and security component of the Digital Agenda for Europe and responds to the growing attention of EU policy makers for societal needs related to privacy and cybersecurity. The societal relevance and timeliness of this research has been emphasized by revelations made by Snowden, that provide clear evidence of mass surveillance by nation states and of serious weaknesses of our current infrastructure. An essential component of a response to these revelations consists a broad deployment of advanced and innovative cryptographic techniques.