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A SCALABLE AND PRACTICAL PRIVACY-PRESERVING FRAMEWORK

Project description

DEENESFRITPL

Privacy-preserving framework for cross-border data processing

The Big Data revolution has created many new opportunities for research and industry. However, privacy concerns remain, particularly when processing Big Data. With this in mind, the EU-funded ENCRYPT project will address the challenges. It will develop a scalable framework for processing data stored in federated cross-border data spaces. ENCRYPT framework will provide a recommendation engine for end users to personalise their privacy preferences based on the sensitivity of their data and the trade-off between security and performance. In-lab tests and real-world use cases across various sectors (health, cybersecurity and finance) will validate the framework. The project is led by a consortium of 14 partners, including companies, research institutes and universities.

Objective

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.

Fields of science

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Topic(s)

Call for proposal

HORIZON-CL3-2021-CS-01

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Funding Scheme

HORIZON-RIA - HORIZON Research and Innovation Actions

Coordinator

EXUS SOFTWARE MONOPROSOPI ETAIRIA PERIORISMENIS EVTHINIS
Net EU contribution
€ 633 750,00
Address
Theanous 15
118 54 Athens
Greece

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Yes
Region
Αττική Aττική Κεντρικός Τομέας Αθηνών
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Other funding
€ 0,00

Participants (12)

Partners (1)

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Last update: 15 September 2022

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Permalink: https://cordis.europa.eu/project/id/101070670

European Union, 2023