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Content archived on 2024-06-18

Usable and Efficient Secure Multiparty Computation

Project description


High-Tech Research Intensive SMEs in FET research

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.
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.

Call for proposal

FP7-ICT-2011-C
See other projects for this call

Coordinator

CYBERNETICA AS
EU contribution
€ 391 000,00
Address
MAEALUSE 2
12618 Tallinn
Estonia

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Region
Eesti Eesti Põhja-Eesti
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Peeter Laud (Dr.)
Links
Total cost
No data

Participants (3)