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UaESMC

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Usable and Efficient Secure Multiparty Computation

In this project, we will bring the techniques and tools for Secure Multiparty Computation (SMC) to a level where they can be applied to decisional and computational problems of practical size in several different social and econom... ver más

31/07/2015

CYBER

1M€

Presupuesto del proyecto: 1M€

Líder del proyecto

CYBERNETICA AS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

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Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2015-07-31 No tenemos la información de la convocatoria

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4 Participantes

CYBER

0.00€ | Lider

UNIVERSITY OF TARTU

N.D. | Participante

KTH

N.D. | Participante

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Líder del proyecto

CYBERNETICA AS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 1M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto In this project, we will bring the techniques and tools for Secure Multiparty Computation (SMC) to a level where they can be applied to decisional and computational problems of practical size in several different social and economic sectors. To achieve this, we will apply a multi-pronged research effort to build the theoretical foundations for the practical aspects of SMC application. Our project will combine the identification of a representative set of computational problems, the development of appropriate cryptographic and other tools for solving those problems in a privacy-preserving manner, the study of incentives of various parties to participate in privacy-preserving computations, and the exploration of practical limits and trade-offs in the deployment of SMC solutions. All these research areas will be explored in tight cooperation, as advances in any of them will shift priorities in all other areas. Through the integrated effort we hope to build a framework that allows us to place any multiparty computation problem in the appropriate context and to see whether and how the privacy issues in this problem can be mitigated.<br/>While cryptographic techniques for SMC have been studied before in Europe, our quest for identifying the other enablers of SMC through an integrated research effort appears to be novel. We believe that the research activities structured in this manner will in the fastest possible way bring us closer to our long-term goal of the privacy requirements of the input data of a computation not being a consideration whether to perform it.

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