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PRESERVE

financed

Ethical and Privacy preserving Big Data platform for Supporting criminal investi...

Ethical and Privacy preserving Big Data platform for Supporting criminal investigations This proposal aims to develop an innovative and privacy-preserving decision-support system for European law enforcement authorities, leveraging advanced Big Data and AI technologies to effectively combat crimes and terrorism. The... see more

31/08/2027

GRADIANT

6M€

Project Budget: 6M€

Project leader

FUNDACION CENTRO TECNOLOXICO DE TELECOMUNICAC... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 6M€

PARTICIPATION DEPralty Sin fecha límite de participación.

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Financing granted El organismo HORIZON EUROPE notifico la concesión del proyecto The day 2024-07-22

HORIZON-CL3-2023-FCT-01-04: Open Topic Expected Outcome:Projects’ results are expected to contribute to all of the following outcomes:

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

No hay información privada compartida para este proyecto. Habla con el coordinador.

14 Participantes

GRADIANT

867.16K€ | Leader

WORLD MARITIME UNIVERSITY

330.44K€ | participant

CZECH ALZHEIMER SOCIETY

114.19K€ | participant

UNIBA

444.19K€ | participant

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Project duration: 37 months Date Start: 2024-07-22
End date: 2027-08-31

Project leader

FUNDACION CENTRO TECNOLOXICO DE TELECOMUNICAC... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 6M€

Project Budget 6M€

participation deadline Sin fecha límite de participación.

Project description This proposal aims to develop an innovative and privacy-preserving decision-support system for European law enforcement authorities, leveraging advanced Big Data and AI technologies to effectively combat crimes and terrorism. The proposed system integrates Federated Learning, User and Entity Behavior Analytics (UEBA), and other Big Data and AI techniques to monitor social network data, deep and shallow web information, and police databases in a secure, collaborative, privacy-aware and ethical manner. The primary objective is to help Law Enforcement Authorities (LEAs) fighting cybercrime and terrorism by identifying key communities and users involved in activities such as hate speech, child sexual abuse, terrorism, or drug trafficking and to use this information to better allocate police resources. PRESERVE will leverage Federated Learning, a decentralised machine learning approach that allows model training on distributed data sources while preserving data privacy. By collaborating with multiple LEAs across Europe, PRESERVE will collectively combine social network data, deep and shallow web information, and police databases to analyse large amounts of spatial and temporal data related to criminal activities to identify patterns and correlations to provide better police-resource management on critical areas.

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