Research Project

ENCRYPT: a scalable and practical privacy preserving framework

The project allows researchers and developers to process data stored in federated cross-border dataspaces in a GDPR-compliant way.

Where: international
Challenge
The deluge of big data, accompanied by developments in software and hardware technologies exploiting them, has created new opportunities for research and industry. 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.
Approach
ENCRYPT develops a scalable, practical, adaptable privacy preserving framework and at the same time validates it in a comprehensive validation campaign in three sectors, namely the health sector, the cybersecurity sector, and the finance sector including cross-border processing of data.
Digital Ecosystem
Solution
Digital Ecosystem

ENCRYPT develops a recommendation engine for citizens and end-users, providing them with personalised suggestions on privacy. The framework considers the needs and preferences of relevant actors, and is validated in a comprehensive, 3-phase validation campaign, comprising in-lab validation tests, use cases provided by consortium partners and external use cases including privacy preserving computations on federated medical datasets. Engineering contributes to the definition of the Methodological IoT Trust and Identity Framework ans is involved in the system integration, validation, and evaluation of the solution.

EU co-founding project, contract No. 101070670

Results

 

 

 

 

Improved technologies for cyber threat intelligence and data sharing

 

 

Promotion of GDPR compliant European data spaces for digital services and research

Technologies

To know more
Case Study

Brescia: Sustainable Mobility Becomes a Game

An app to encourage sustainable behaviors by promoting the use of public and private transport, as well as private and shared bicycles for commuting.

ARIEN: an AI platform to support the fight against illegal drug trafficking

A holistic approach based on artificial intelligence tools for monitoring the production and illegal trafficking of drugs.

Research Project

QLMD: Quantum Computing for an efficient urban logistical ecosystem

Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.