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R&I Project Hub

ASAP

The ASAP FP7 research project developed a dynamic open-source execution framework for scalable data analytics. The underlying idea was that no single execution model is suitable for all types of tasks, and no single data model (and store) is suitable for all types of data. Complex analytical tasks over multi-engine environments therefore require integrated profiling, modeling, planning and scheduling functions.

Goals

symbIoTe

The current IoT ecosystem is however fragmented: a series of vertical solutions exist today which, on the one hand, integrate connected objects within local environments using purpose-specific implementations and, on the other hand, connect smart spaces with a back-end cloud hosting dedicated often proprietary software components.

STORM

STORM project incorporates such valuable information in a practical and useful set of tools for heritage safeguarding, taking it to a higher level. By making the processes user-focused and citizen-centred, STORM brings together wider awareness of protection and prevention than ever before. The project enables to go far beyond the current state of the art by way of:

SPOOC

The rise of the Internet and the ubiquity of electronic devices has deeply changed our way of life. Many face to face and paper transactions have nowadays digital counterparts: home banking, e- commerce, e-voting, etc. The security of such transactions is ensured by the means of cryptographic protocols. While historically the main goals of protocols were to ensure confidentiality and authentication the situation has changed. The ability of people to stay connected constantly combined with ill-conceived systems seriously threatens people’s privacy.

SHIELD

The SHIELD project proposes a universal solution for dynamically establishing and deploying virtual security infrastructures into ISP and corporate networks. SHIELD builds on the huge momentum of Network Functions Virtualisation (NFV), as currently standardised by ETSI, in order to virtualise security appliances into virtual Network Security Functions (vNSFs), to be instantiated within the network infrastructure using NFV technologies and concepts, effectively monitoring and filtering network traffic in a distributed manner.

SEMIoTICS

SEMIoTICS main scope aims to develop a pattern-driven framework, built upon existing IoT platforms, to enable and guarantee secure and dependable actuation and semi-autonomic behaviour in IoT/IIoT applications. The SEMIoTICS framework will support cross-layer intelligent dynamic adaptation, including heterogeneous smart objects, networks and clouds. To address the complexity and scalability needs within horizontal and vertical domains, SEMIoTICS will develop and integrate smart programmable networking and semantic interoperability mechanisms.

DSSC

The DSSC Research Training Programme is a Marie Sklodowska-Curie COFUND action developed at the University of Groningen that will train 10 PhD students for 4 years to be part of the next generation of interdisciplinary data and complexity experts. The research areas of the DSSC COFUND Doctoral Programme are: Adaptive Models & Big Data; Complex Systems & Engineering and Advanced Instrumentation & Big Data.

The 4-year Doctoral Programme offers:

CryptoCloud

Privacy for the Cloud will have a huge societal impact since it will revolutionize the trust model: users will be able to make safe use of outsourced storage, namely for personal, financial and medical data, without having to worry about failures or attacks of the server. It will also have a strong economic impact, conferring a competitive advantage on Cloud providers implementing these tools.

FeatureCloud

FeatureCloud is a transformative, pan-European research collaboration and AI-development project which implements a software toolkit for substantially reducing cyber risks to healthcare infrastructure by employing the worldwide first “privacy by design” approach.

The final product of FeatureCloud will be characterized by three key strengths:

SERUMS

The Serums Project deals with security and privacy of future-generation healthcare systems, putting patients at the centre of future healthcare provision, enhancing their personal care and maximising the quality of treatment they receive.

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