Summary
Data-driven innovation will bring enormous benefits for citizens, affecting all sectors of activity and the daily lives of all Europeans. It will enable, for example, AI-driven services to find causes for diseases or share attributes of individuals’ identity to quickly participate, for instance, in social or education activities across Europe. However, identity compromises, leakages or abuses of this kind of data pose serious threats that may compromise the proliferation of data spaces involving personal data, and reduce the opportunities offered by the data economy.
The goal of the TrustED project is to design and develop a robust self-sovereign identity management method with advanced features as well as a set of combined privacy enhancing technologies (PETs) to enable TWO highly scalable and reliable services on personal data within data spaces with privacy guarantees that exceed the requirements of the GDPR, eIDASv2 and EUDI wallet:
(1) A trustworthy federated learning service combined with several PETs that will allow AI-powered studies of siloed datasets with privacy guarantees.
(2) A scalable and reliable self sovereign identity management service combined with methods for AI-based document validation, multimodal biometrics and ZKP-based selective disclosure techniques, that will enable electronic attestation, revocation of credentials and sharing of specific attributes of identity in a privacy preserving way.
The components will be piloted, demonstrated and validated in a minimum viable data space that follows the implementations and deployments defined under the EDC Framework, which is powered by the specifications of the Gaia-X AISBL Trust Framework and the IDSA Data space protocol.
The consortium is composed of 10 interdisciplinary partners: 2 Research Organizations, 3 SMEs, 2 Large Entities, 2 NGOs and 1 Clinical partner with extensive experience and expertise to guarantee the correct performance of the activities and the achievement of the results.
The goal of the TrustED project is to design and develop a robust self-sovereign identity management method with advanced features as well as a set of combined privacy enhancing technologies (PETs) to enable TWO highly scalable and reliable services on personal data within data spaces with privacy guarantees that exceed the requirements of the GDPR, eIDASv2 and EUDI wallet:
(1) A trustworthy federated learning service combined with several PETs that will allow AI-powered studies of siloed datasets with privacy guarantees.
(2) A scalable and reliable self sovereign identity management service combined with methods for AI-based document validation, multimodal biometrics and ZKP-based selective disclosure techniques, that will enable electronic attestation, revocation of credentials and sharing of specific attributes of identity in a privacy preserving way.
The components will be piloted, demonstrated and validated in a minimum viable data space that follows the implementations and deployments defined under the EDC Framework, which is powered by the specifications of the Gaia-X AISBL Trust Framework and the IDSA Data space protocol.
The consortium is composed of 10 interdisciplinary partners: 2 Research Organizations, 3 SMEs, 2 Large Entities, 2 NGOs and 1 Clinical partner with extensive experience and expertise to guarantee the correct performance of the activities and the achievement of the results.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101168467 |
| Start date: | 01-10-2024 |
| End date: | 30-09-2027 |
| Total budget - Public funding: | - 3 961 193,00 Euro |
Cordis data
Original description
Data-driven innovation will bring enormous benefits for citizens, affecting all sectors of activity and the daily lives of all Europeans. It will enable, for example, AI-driven services to find causes for diseases or share attributes of individuals’ identity to quickly participate, for instance, in social or education activities across Europe. However, identity compromises, leakages or abuses of this kind of data pose serious threats that may compromise the proliferation of data spaces involving personal data, and reduce the opportunities offered by the data economy.The goal of the TrustED project is to design and develop a robust self-sovereign identity management method with advanced features as well as a set of combined privacy enhancing technologies (PETs) to enable TWO highly scalable and reliable services on personal data within data spaces with privacy guarantees that exceed the requirements of the GDPR, eIDASv2 and EUDI wallet:
(1) A trustworthy federated learning service combined with several PETs that will allow AI-powered studies of siloed datasets with privacy guarantees.
(2) A scalable and reliable self sovereign identity management service combined with methods for AI-based document validation, multimodal biometrics and ZKP-based selective disclosure techniques, that will enable electronic attestation, revocation of credentials and sharing of specific attributes of identity in a privacy preserving way.
The components will be piloted, demonstrated and validated in a minimum viable data space that follows the implementations and deployments defined under the EDC Framework, which is powered by the specifications of the Gaia-X AISBL Trust Framework and the IDSA Data space protocol.
The consortium is composed of 10 interdisciplinary partners: 2 Research Organizations, 3 SMEs, 2 Large Entities, 2 NGOs and 1 Clinical partner with extensive experience and expertise to guarantee the correct performance of the activities and the achievement of the results.
Status
SIGNEDCall topic
HORIZON-CL3-2023-CS-01-02Update Date
23-12-2024
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Organisations
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| FUNDACION CENTRO TECNOLOXICO DE TELECOMUNICACIONS DE GALICIA (GRADIANT) (Coördinator)
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| CENTRO HOSPITALAR E UNIVERSITARIO DE COIMBRA EPE
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| CYBERSOCIAL LAB SRL IMPRESA SOCIALE
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| FONDAZIONE MONDO DIGITALE
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| FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
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| FUNDACION CIBERVOLUNTARIOS
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| INFOCERT SPA
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| PROMPTLY - SOFTWARE SOLUTIONS FOR HEALTH MEASURES, LDA
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| SESTEK SES VE ILETISIM BILGISAYAR TEKNOLOJILERI SANAYI TICARET ANONIMSIRKETI
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| TREE TECHNOLOGY SA