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CORDIS - Risultati della ricerca dell’UE
CORDIS

Multi-Owner data Sharing for Analytics and Integration respecting Confidentiality and Owner control

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

Preliminary version of tools for the governance framework (si apre in una nuova finestra)

It provides a preliminary version of the tools developed for the definition of the data governance frame- work for the management of data in collaborative platforms. (T3.1, T3.2, T3.3)

First version of data sanitisation tools (si apre in una nuova finestra)

It provides a first version of the tools developing data sanitisation techniques. (T5.2)

Final encryption-based techniques (si apre in una nuova finestra)

It provides the final version of encryptionbased data protection techniques and tools T41

Final tools for the governance framework (si apre in una nuova finestra)

It provides the final version of the tools developed for the definition of the data governance framework for the man agement of data in collaborative platforms T31 T32 T33

First version of encryption-based protection tools (si apre in una nuova finestra)

It provides a first version of the tools enforcing encryption-based data protection techniques. (T4.2)

Final versions of tools for data sanitisation and computation (si apre in una nuova finestra)

It provides the final version of the tools developed for data sanitisation and collaborative computation for data sanitisation T52T53

Use Case prototypes (si apre in una nuova finestra)

It provides the prototype applications for the Use Cases leveraging the tools in W22W25 T23

First version of policy specification language and model (si apre in una nuova finestra)

It provides a preliminary version of the model and language for policy specification. (T3.2)

Report on requirements, research alignment and deployment plan (si apre in una nuova finestra)

It reports on the status of about the alignment between the research and technological development in WPs3–5 and the requirements of the Use Cases. (T2.2)

Final report on privacy metrics, risks, and utility (si apre in una nuova finestra)

It provides the final version of the metrics for measuring privacy risks and utility T51

Final evaluation report from Use Cases (si apre in una nuova finestra)

It reports on the assessment and evaluation of the techniques and tools available in WPs35 with respect to the satisfaction of the data protection requirements of the Use Cases T24

Requirements from the Use Cases (si apre in una nuova finestra)

It provides the final version of the data protection requirements coming from the Use Cases. (T2.1)

Final report on research alignment (si apre in una nuova finestra)

It provides the final analysis on research alignment T22

Report on encryption-based policy enforcement and controlled query execution (si apre in una nuova finestra)

It illustrates the complete techniques for policy enforcement and controlled query execution considering incentives and economic aspects T41 T42 T43 T44

Report on encryption-based techniques and policy enforcement (si apre in una nuova finestra)

It provides a first version of the techniques for policy enforcement, based on the basic protection techniques developed in W4.1. (T4.2)

First report on privacy metrics and data sanitisation (si apre in una nuova finestra)

It illustrates the metrics designed for measuring privacy and the techniques developed for data sanitisation. (T5.1, T5.2)

Final report on the data governance framework, with language and model (si apre in una nuova finestra)

It illustrates the complete techniques of the data governance framework including the de veloped policy model language and mechanisms T31 T32 T33

Report on data sanitisation and computation (si apre in una nuova finestra)

It illustrates the complete techniques for data sanitisation and for the collaborative computation for data sanitisation T52T53

Final version of data management plan (si apre in una nuova finestra)

It provides the final detailed description of the data management plan T71

First version of the reference metadata model (si apre in una nuova finestra)

It provides a preliminary version of the reference metadata model. (T3.1)

Data Management Plan (si apre in una nuova finestra)

It provides a detailed description of the data management plan. (T7.1)

Pubblicazioni

Iris Deidentification With High Visual Realism for Privacy Protection on Websites and Social Networks (si apre in una nuova finestra)

Autori: Mauro Barni; Ruggero Donida Labati; Angelo Genovese; Vincenzo Piuri; Fabio Scotti
Pubblicato in: IEEE Access, Numero 5, 2021, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3114588

I-SOCIAL-DB: A labeled database of images collected from websites and social media for iris recognition (si apre in una nuova finestra)

Autori: R. Donida Labati; Angelo Genovese; Vincenzo Piuri; Fabio Scotti; Sarvesh Vishwakarma
Pubblicato in: Image and Vision Computing, Numero 5, 2021, ISSN 0262-8856
Editore: Elsevier BV
DOI: 10.1016/j.imavis.2020.104058

An Authorization Model for Query Execution in the Cloud (si apre in una nuova finestra)

Autori: Sabrina De Capitani di Vimercati, Sara Foresti, Sushil Jajodia, Giovanni Livraga, Stefano Paraboschi, Pierangela Samarati
Pubblicato in: The VLDB Journal, 2021, ISSN 1066-8888
Editore: Springer Verlag
DOI: 10.1007/s00778-021-00709-x

Quantifying identifiability to choose and audit $\epsilon$ in differentially private deep learning (si apre in una nuova finestra)

Autori: Bernau, Daniel; Eibl, Günther; Grassal, Philip W.; Keller, Hannah; Kerschbaum, Florian
Pubblicato in: Proceedings of the VLDB Endowment, Numero 4, 2021, ISSN 2150-8097
Editore: VLDB Endowment
DOI: 10.14778/3484224.3484231

A Fuzzy-Based Brokering Service for Cloud Plan Selection (si apre in una nuova finestra)

Autori: Sabrina De Capitani di Vimercati, Sara Foresti, Giovanni Livraga, Vincenzo Piuri, Pierangela Samarati
Pubblicato in: IEEE Systems Journal, Numero 13/4, 2019, Pagina/e 4101-4109, ISSN 1932-8184
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/JSYST.2019.2893212

Securing Resources in Decentralized Cloud Storage (si apre in una nuova finestra)

Autori: Enrico Bacis, Sabrina De Capitani di Vimercati, Sara Foresti, Stefano Paraboschi, Marco Rosa, Pierangela Samarati
Pubblicato in: IEEE Transactions on Information Forensics and Security, Numero 15, 2020, Pagina/e 286-298, ISSN 1556-6013
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TIFS.2019.2916673

Monte Carlo and Reconstruction Membership Inference Attacks against Generative Models (si apre in una nuova finestra)

Autori: Benjamin Hilprecht, Martin Härterich, Daniel Bernau
Pubblicato in: Proceedings on Privacy Enhancing Technologies, Numero 2019/4, 2019, Pagina/e 232-249, ISSN 2299-0984
Editore: Sciendo
DOI: 10.2478/popets-2019-0067

Toward Owners’ Control in Digital Data Markets (si apre in una nuova finestra)

Autori: Sabrina De Capitani di Vimercati, Sara Foresti, Giovanni Livraga, Pierangela Samarati
Pubblicato in: IEEE Systems Journal, 2020, Pagina/e 1-8, ISSN 1932-8184
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/JSYST.2020.2970456

Security-Aware Data Allocation in Multicloud Scenarios (si apre in una nuova finestra)

Autori: Sabrina De Capitani di Vimercati, Sara Foresti, Giovanni Livraga, Vincenzo Piuri, Pierangela Samarati
Pubblicato in: IEEE Transactions on Dependable and Secure Computing, 2019, Pagina/e 1-1, ISSN 1545-5971
Editore: IEEE Computer Society
DOI: 10.1109/tdsc.2019.2953068

A survey of unsupervised generative models for exploratory data analysis and representation learning (si apre in una nuova finestra)

Autori: Mohanad Abukmeil; Stefano Ferrari; Angelo Genovese; Vincenzo Piuri; Fabio Scotti
Pubblicato in: ACM Computing Surveys, Numero 10, 2021, ISSN 0360-0300
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3450963

I Told You Tomorrow: Practical Time-Locked Secrets using Smart Contracts (si apre in una nuova finestra)

Autori: Enrico Bacis; Dario Facchinetti; Marco Guarnieri; Marco Rosa; Matthew Rossi; Stefano Paraboschi
Pubblicato in: Proc. of the 16th International Conference on Availability, Reliability and Security (ARES), Numero 14, 2021
Editore: ACM
DOI: 10.1145/3465481.3465765

SEApp: Bringing Mandatory Access Control to Android Apps

Autori: Matthew Rossi, Dario Facchinetti, Enrico Bacis, Marco Rosa, Stefano Paraboschi
Pubblicato in: 30th USENIX Security Symposium, 2021
Editore: USENIX

Artifact: Scalable Distributed Data Anonymization (si apre in una nuova finestra)

Autori: De Capitani di Vimercati, S.; Facchinetti, D.; Foresti, S.; Oldani, G.; Paraboschi, S.; Rossi, M.; Samarati, P.
Pubblicato in: 19th International Conference on Pervasive Computing and Communications (PerCom 2021), Numero 13, 2021
Editore: IEEE
DOI: 10.1109/percomworkshops51409.2021.9431059

Secure Multi-party Computation of Differentially Private Median

Autori: Jonas Böhler, Florian Kerschbaum
Pubblicato in: 29th USENIX Security Symposium (USENIX Security 20), 2020, ISBN 978-1-939133-17-5
Editore: USENIX Association}

Comparing Local and Central Differential Privacy Using Membership Inference Attacks (si apre in una nuova finestra)

Autori: Daniel Bernau, Jonas Robl, Philip W. Grassal, Steffen Schneider, Florian Kerschbaum
Pubblicato in: 35th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy (DBSec 2021), 2021
Editore: Springer
DOI: 10.1007/978-3-030-81242-3_2

Multi-Dimensional Indexes for Point and Range Queries on Outsourced Encrypted Data

Autori: Sabrina De Capitani di Vimercati, Dario Facchinetti, Sara Foresti, Gianluca Oldani, Stefano Paraboschi, Matthew Rossi, Pierangela Samarati
Pubblicato in: 2021 IEEE Global Communications Conference (GLOBECOM 2021), 2021
Editore: IEEE

Differential Privacy for Directional Data (si apre in una nuova finestra)

Autori: Benjamin Weggenmann, Florian Kerschbaum
Pubblicato in: 2021 ACM SIGSAC Conference on Computer and Communications Security, 2021
Editore: ACM
DOI: 10.1145/3460120.3484734

WasmTree: Web Assembly for the Semantic Web (si apre in una nuova finestra)

Autori: Julian Bruyat, Pierre-Antoine Champin, Lionel Médini, Frédérique Laforest
Pubblicato in: 18th European Semantic Web Conference (ESWC 2021), 2021
Editore: Springer
DOI: 10.1007/978-3-030-77385-4_35

Multi-Provider Secure Processing of Sensors Data (si apre in una nuova finestra)

Autori: Enrico Bacis, Sabrina De Capitani di Vimercati, Dario Facchinetti, Sara Foresti, Giovanni Livraga, Stefano Paraboschi, Marco Rosa, Pierangela Samarati
Pubblicato in: 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2019, Pagina/e 349-351, ISBN 978-1-5386-9151-9
Editore: IEEE
DOI: 10.1109/PERCOMW.2019.8730707

Empowering Owners with Control in Digital Data Markets (si apre in una nuova finestra)

Autori: Sabrina De Capitani di Vimercati, Sara Foresti, Giovanni Livraga, Pierangela Samarati
Pubblicato in: 2019 IEEE 12th International Conference on Cloud Computing (CLOUD), 2019, Pagina/e 321-328, ISBN 978-1-7281-2705-7
Editore: IEEE
DOI: 10.1109/CLOUD.2019.00060

Data security and privacy in the cloud (si apre in una nuova finestra)

Autori: Sabrina De Capitani di Vimercati, Sara Foresti, Giovanni Livraga, Pierangela Samarati
Pubblicato in: Mobile Multimedia/Image Processing, Security, and Applications 2019, 2019, Pagina/e 15, ISBN 9781-510626522
Editore: SPIE
DOI: 10.1117/12.2523603

Data Confidentiality and Information Credibility in On-line Ecosystems (si apre in una nuova finestra)

Autori: Giovanni Livraga, Marco Viviani
Pubblicato in: Proceedings of the 11th International Conference on Management of Digital EcoSystems, 2019, Pagina/e 191-198, ISBN 9781450362382
Editore: ACM
DOI: 10.1145/3297662.3365829

Dynamic Allocation for Resource Protection in Decentralized Cloud Storage (si apre in una nuova finestra)

Autori: Enrico Bacis, Sabrina De Capitani di Vimercati, Sara Foresti, Stefano Paraboschi, Marco Rosa, Pierangela Samarati
Pubblicato in: 2019 IEEE Global Communications Conference (GLOBECOM), 2019, Pagina/e 1-6, ISBN 978-1-7281-0962-6
Editore: IEEE
DOI: 10.1109/globecom38437.2019.9013354

Controlled Query Evaluation in Description Logics Through Instance Indistinguishability (si apre in una nuova finestra)

Autori: Gianluca Cima, Domenico Lembo, Riccardo Rosati, Domenico Fabio Savo
Pubblicato in: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020, Pagina/e 1791-1797, ISBN 978-0-9992411-6-5
Editore: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2020/248

Declarative Access Control for Aggregations of Multiple Ownership Data (si apre in una nuova finestra)

Autori: Marco Rosa, Francesco Di Cerbo, Rocio Cabrera Lozoya
Pubblicato in: Proceedings of the 25th ACM Symposium on Access Control Models and Technologies, 2020, Pagina/e 59-70, ISBN 9781450375689
Editore: ACM
DOI: 10.1145/3381991.3395609

Secure Sublinear Time Differentially Private Median Computation (si apre in una nuova finestra)

Autori: Jonas Bohler, Florian Kerschbaum
Pubblicato in: Proceedings 2020 Network and Distributed System Security Symposium, 2020, ISBN 1-891562-61-4
Editore: Internet Society
DOI: 10.14722/ndss.2020.24150

Revisiting Controlled Query Evaluation in Description Logics (si apre in una nuova finestra)

Autori: Domenico Lembo, Riccardo Rosati, Domenico Fabio Savo
Pubblicato in: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019, Pagina/e 1786-1792, ISBN 978-0-9992411-4-1
Editore: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2019/247

Enforcing Corporate Governance's Internal Controls and Audit in the Cloud

Autori: Sabrina De Capitani di Vimercati, Sara Foresti, Stefano Paraboschi, Pierangela Samarati
Pubblicato in: Proc. of the 13th IEEE International Conference on Cloud Computing (IEEE CLOUD 2020), 2020
Editore: IEEE

Secure Multi-party Computation of Differentially Private Heavy Hitters (si apre in una nuova finestra)

Autori: Jonas Böhler, Florian Kerschbaum
Pubblicato in: 2021 ACM SIGSAC Conference on Computer and Communications Security (CCS 2021), 2021
Editore: ACM
DOI: 10.1145/3460120.3484557

PREC: Semantic Translation of Property Graphs

Autori: Julian Bruyat, Pierre-Antoine Champin, Lionel Médini, Frederique Laforest
Pubblicato in: 1st Workshop on Squaring the Circles on Graphs, 2021
Editore: Creative Commons License Attribution 4.0 International

Using automotive property graph-based data models in a knowledge graph (si apre in una nuova finestra)

Autori: Aidan O Mahony; Alan Barnett; Merry Globin
Pubblicato in: 1st Workshop on Squaring the Circle on Graphs, 2021
Editore: Creative Commons License Attribution 4.0 International
DOI: 10.5281/zenodo.5593219

Specification and Enforcement of Access Policies in Emerging Scenarios

Autori: Sabrina De Capitani di Vimercati, Sara Foresti, Pierangela Samarati
Pubblicato in: Cloud Computing Security: Foundations and Challenges, 2nd Edition, 2020
Editore: CRC Press

Scalable Distributed Data Anonymization (si apre in una nuova finestra)

Autori: Sabrina De Capitani di Vimercati; Dario Facchinetti; Sara Foresti; Gianluca Oldani; Stefano Paraboschi; Matthew Rossi; Pierangela Samarati
Pubblicato in: 19th International Conference on Pervasive Computing and Communications (PerCom 2021), Numero 16, 2021
Editore: IEEE
DOI: 10.1109/percomworkshops51409.2021.9431063

Distributed query evaluation over encrypted data (si apre in una nuova finestra)

Autori: Sabrina De Capitani di Vimercati; Sara Foresti; Sushil Jajodia; Giovanni Livraga; Stefano Paraboschi; Pierangela Samarati
Pubblicato in: 35th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy (DBSec 2021), Numero 2, 2021
Editore: Springer
DOI: 10.1007/978-3-030-81242-3_6

Selective Owner-side Encryption in Digital Data Markets: Strategies for Key Derivation (si apre in una nuova finestra)

Autori: Giovanni Livraga; Sara Foresti
Pubblicato in: 18th International Conference on Security and Cryptography (SECRYPT 2021), Numero 17, 2021
Editore: ScitePress
DOI: 10.5220/0010603506200627

Digital Infrastructure Policies for Data Security and Privacy in Smart Cities

Autori: Sabrina De Capitani di Vimercati, Sara Foresti, Giovanni Livraga, Pierangela Samarati
Pubblicato in: Smart Cities Policies and Financing, J. Vacca (ed.), 2022, ISBN 9780128191316
Editore: Elsevier

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