Markets
Engineering offers a wide range of products, services and projects, organised in 11 portfolio areas.
Discover more
Technologies
Engineering complements its offerings by grounding the value of technologies that enable Clients in Digital Transformation.
Discover more
Platforms
With 40 years of experience, we have developed a portfolio of proprietary platforms, frameworks and tools for the digital transformation of our Clients' business processes.
Discover more
Papers
Discover more
Stories
Discover more
Podcasts
Listen to Engineering podcasts on computing and technology: AI, Big Data, Blockchain, Cloud, Cybersecurity, IoT and more...
Discover more
Events
Discover more
Solutions
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
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
To know more
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.
Case Study
Labour Information System of Emilia-Romagna (SILER)
Labour Information System to centralize data and service management, ensuring interoperability between the regional system, local authorities, other regions, Ministry of Labour through application cooperation services.
Case Study
Reengineering of the Health Record of the Regione Molise
The evolution will facilitate information sharing among healthcare facilities and ensure citizens access to an integrated and coordinated service.
-
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.
-
Case Study
Labour Information System of Emilia-Romagna (SILER)
Labour Information System to centralize data and service management, ensuring interoperability between the regional system, local authorities, other regions, Ministry of Labour through application cooperation services.
-
Case Study
Reengineering of the Health Record of the Regione Molise
The evolution will facilitate information sharing among healthcare facilities and ensure citizens access to an integrated and coordinated service.
Recommended for you
Explore additional content associated with the topic
