Explore the words cloud of the MOSAICrOWN project. It provides you a very rough idea of what is the project "MOSAICrOWN" about.
The following table provides information about the project.
Coordinator |
UNIVERSITA DEGLI STUDI DI MILANO
Organization address contact info |
Coordinator Country | Italy [IT] |
Total cost | 3˙203˙750 € |
EC max contribution | 3˙203˙750 € (100%) |
Programme |
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) |
Code Call | H2020-ICT-2018-2 |
Funding Scheme | RIA |
Starting year | 2019 |
Duration (year-month-day) | from 2019-01-01 to 2021-12-31 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | UNIVERSITA DEGLI STUDI DI MILANO | IT (MILANO) | coordinator | 700˙000.00 |
2 | SAP SE | DE (WALLDORF) | participant | 546˙875.00 |
3 | UNIVERSITA' DEGLI STUDI DI BERGAMO | IT (BERGAMO) | participant | 500˙625.00 |
4 | GEIE ERCIM | FR (BIOT) | participant | 500˙000.00 |
5 | MASTERCARD EUROPE | BE (WATERLOO) | participant | 500˙000.00 |
6 | EMC INFORMATION SYSTEMS INTERNATIONAL | IE (OVENS) | participant | 456˙250.00 |
The application of data analysis techniques over large data collections provides great benefits, from the personal, to the business, research, and social domain. The availability of large data collections recording actions and choices of individuals and organisations can lead to great improvement in the understanding of how the world operates. The continuous evolution of ICT is enabling the realisation of such vision at a fast pace, supporting the realisation of architectures enabling collaborative data sharing and analytics. A clear obstacle towards the realisation of such potential and vision is represented by security and privacy concerns. Indeed, the (actual or perceived) loss of control over data and potential compromise of their confidentiality can have a strong detrimental impact on the realisation of an open framework for enabling the sharing of data from multiple independent data owners. The goal of MOSAICrOWN is to enable data sharing and collaborative analytics in multi-owner scenarios in a privacy-preserving way, ensuring proper protection of private/sensitive/confidential information. MOSAICrOWN will provide effective and deployable solutions allowing data owners to maintain control on the data sharing process, enabling selective and sanitised disclosure providing for efficient and scalable privacy-aware collaborative computations. MOSAICrOWN Consortium sees the participation of major industry players, providing strategic use cases with strong exploitation and impact, and of an SME supporting deployment and standardisation.
year | authors and title | journal | last update |
---|---|---|---|
2020 |
Enrico Bacis, Sabrina De Capitani di Vimercati, Sara Foresti, Stefano Paraboschi, Marco Rosa, Pierangela Samarati Securing Resources in Decentralized Cloud Storage published pages: 286-298, ISSN: 1556-6013, DOI: 10.1109/TIFS.2019.2916673 |
IEEE Transactions on Information Forensics and Security 15 | 2020-01-29 |
2019 |
Benjamin Hilprecht, Martin Härterich, Daniel Bernau Monte Carlo and Reconstruction Membership Inference Attacks against Generative Models published pages: 232-249, ISSN: 2299-0984, DOI: 10.2478/popets-2019-0067 |
Proceedings on Privacy Enhancing Technologies 2019/4 | 2020-01-29 |
2019 |
Sabrina De Capitani di Vimercati, Sara Foresti, Giovanni Livraga, Vincenzo Piuri, Pierangela Samarati A Fuzzy-Based Brokering Service for Cloud Plan Selection published pages: 4101-4109, ISSN: 1932-8184, DOI: 10.1109/JSYST.2019.2893212 |
IEEE Systems Journal 13/4 | 2020-01-29 |
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The information about "MOSAICROWN" are provided by the European Opendata Portal: CORDIS opendata.