Data Usage Control for empowering digital sovereignty for All citizens

Informazioni relative al progetto

DUCA

ID dell’accordo di sovvenzione: 101086308

DOI

10.3030/101086308

Data della firma CE 16 Novembre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Dicembre 2026

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 1 656 000,00

Coordinato da

SOUTH EAST TECHNOLOGICAL UNIVERSITY
Ireland

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (6)

Initial results of Data Sharing Agreement Management and Enforcement Infrastructures

This deliverable will define the format of DSA and list the main considered operations. It will also describe the preliminary version of both DSA management and enforcement infrastructures.

Initial results of Design, implementation and evaluation of use cases

This deliverable describes the methodology followed for the elicitation of the requirements and needs of each use case together with a report of common and specific requirements, reports about the design of the use cases for each use case and the preparation done for the integration of DUCA, and describes the initial integration of the DUCA approach in each use case, the process followed, and the fulfilment of requirements as described in D5.1

Initial results of requirements, architecture and integration test

This report provides the complete list of requirements for the architectural components, the preliminary version of the DUCA architecture and the first version of the integrated DUCA platform.

Plan for dissemination, exploitation and communication

This deliverable will present DUCAs dissemination exploitation and communications plan which will be used to transfer the knowledge obtained during the project lifecycle

Data Management Plan (DMP)

The DMP describes the data management life cycle for the data collected processed andor generated by the project This deliverable will evolve during the project lifetime

Initial results of security and privacy enhancing technologies

This deliverable reports on the requirements for all the components developed in tasks 4.1-4.6 and the preliminary maturation cycle of all the components ready to be integrated in WP2.

Pubblicazioni

Conference proceedings (2)

A SLAHP in the Face of DLL Search Order Hijacking

Autori: Antonin Verdier, Romain Laborde, Mohamed Ali Kandi, Abdelmalek Benzekri
Pubblicato in: Communications in Computer and Information Science, Ubiquitous Security, 2024
Editore: Springer
DOI: 10.1007/978-981-97-1274-8_12

A Model For Assessing The Adherence of E-Identity Solutions To Self-Sovereign Identity

Autori: Lepore, Cristian; Laborde, Romain; Eynard, Jessica; Kandi, Mohamed, Ali; Macilotti, Giorgia; Ferreira, Afonso; Sibilla, Michelle
Pubblicato in: World Conference on Information Systems and Technologies, 2024
Editore: Springer
DOI: 10.1007/978-3-031-60215-3_15

Peer reviewed articles (6)

Explainable Ransomware Detection with Deep Learning Techniques

Autori: Giovanni Ciaramella, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone
Pubblicato in: Journal of Computer Virology and Hacking Techniques, Numero 20, 2024, ISSN 2263-8733
Editore: Springer Science and Business Media LLC
DOI: 10.1007/s11416-023-00501-1

FLAShadow: A Flash-based Shadow Stack for Low-end Embedded Systems

Autori: Michele Grisafi, Mahmoud Ammar, Marco Roveri, Bruno Crispo
Pubblicato in: ACM Transactions on Internet of Things, Numero 5, 2024, ISSN 2691-1914
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3670413

Digital twin communities: an approach for secure DT data sharing

Autori: Cristina Alcaraz, Iman Hasnaouia Meskini, Javier Lopez
Pubblicato in: International Journal of Information Security, Numero 24, 2025, ISSN 1615-5262
Editore: Springer Science and Business Media LLC
DOI: 10.1007/s10207-024-00912-1

A method for real-world privacy-preserving Android malware detection through Federated Machine Learning

Autori: Giovanni Ciaramella, Fabio Martinelli, Christian Peluso, Antonella Santone, Francesco Mercaldo
Pubblicato in: Information and Software Technology, Numero 189, 2025, ISSN 0950-5849
Editore: Elsevier BV
DOI: 10.1016/J.INFSOF.2025.107892

Explainable Security Requirements Classification Through Transformer Models

Autori: Luca Petrillo, Fabio Martinelli, Antonella Santone, Francesco Mercaldo
Pubblicato in: Future Internet, Numero 17, 2025, ISSN 1999-5903
Editore: MDPI AG
DOI: 10.3390/fi17010015

Digital Twin-assisted anomaly detection for industrial scenarios

Autori: Cristina Alcaraz, Javier Lopez
Pubblicato in: International Journal of Critical Infrastructure Protection, Numero 47, 2024, ISSN 1874-5482
Editore: Elsevier BV
DOI: 10.1016/j.ijcip.2024.100721