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ENCRYPT

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A SCALABLE AND PRACTICAL PRIVACY-PRESERVING FRAMEWORK

The deluge of big data, accompanied by developments in software and hardware technologies leveraging them, has created new opportunities for research and industry. Europe The main challenges, though, faced by researchers and servi... ver más

30/06/2025

EXUS SOFTWARESINGL...

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

EXUS SOFTWARE MONOPROSOPI ETAIRIA PERIORISMEN... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-07-01

HORIZON-CL3-2021-CS-01-03: Transition towards Quantum-Resistan...

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Cerrada hace 55 años

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Duración del proyecto: 35 meses Fecha Inicio: 2022-07-01
Fecha Fin: 2025-06-30

Líder del proyecto

EXUS SOFTWARE MONOPROSOPI ETAIRIA PERIORISMEN... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The deluge of big data, accompanied by developments in software and hardware technologies leveraging them, has created new opportunities for research and industry. Europe The main challenges, though, faced by researchers and service providers working with personal data, are stemming from the fact that these data need to be processed in a privacy-preserving way, as they contain sensitive information. Although several technologies have been developed to facilitate the processing of data while preserving privacy, they have not made significant inroads into real use cases, due to several reasons. ENCRYPT will develop a scalable, practical, adaptable privacy-preserving framework, allowing researchers and developers to process data stored in federated cross-border data spaces in a GDPR-compliant way. Within this framework, a recommendation engine for citizens and end-users will be developed, providing them with personalised suggestions on privacy preserving technologies depending on the sensitivity of data and the accepted trade-off between the degree of security and the overall system performance. The ENCRYPT framework will be designed taking into consideration the needs and preferences of relevant actors, and will be validated in a comprehensive, 3-phase validation campaign, comprising i) in-lab validation tests, ii) use cases provided by consortium partners in three sectors, namely the health sector, the cybersecurity sector, and the finance sector, that include cross-border processing of data, and iii) external use cases including privacy preserving computations on federated medical datasets. ENCRYPT will be realised by a multidisciplinary consortium of 14 partners, comprising six companies (including three SMEs, one start-up, and two enterprises), and eight research institutes/universities, and covering the value chain for privacy-preserving computation technologies.

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