TRUST AND PRIVACY PRESERVING COMPUTING PLATFORM FOR CROSS-BORDER FEDERATION OF DATA

Informazioni relative al progetto

TRUSTEE

ID dell’accordo di sovvenzione: 101070214

DOI

10.3030/101070214

Data della firma CE 21 Giugno 2022

Data di avvio 1 Luglio 2022

Data di completamento 31 Dicembre 2025

Finanziato da

• Digital, Industry and Space

Costo totale

€ 8 706 263,75

Contributo UE

€ 8 706 263,00

Coordinato da

IDRYMA TECHNOLOGIAS KAI EREVNAS
Greece

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)

TRUSTEE Outreach, Dissemination, Standardisation and Communication Activities V1

D6.4: TRUSTEE Outreach, Dissemination, Standardisation and Communication Activities V1 [M12], PU, R

Live document, TRUSTEE Automation, OPEN CONTINUUM & SSI Homomorphic capable framework V1

D4.1 Live document, TRUSTEE Automation, OPEN CONTINUUM & SSI Homomorphic capable framework V1, [M15], PU, R+OT: This document will detail all work happening in WP4. The step-by-step update will provide a good tutorial for replicating TRUSTEE WP4 Work to the Consortium

Report on TRUSTEE Pilot Campaign Plan and Evaluation Methodology

D5.1 Report on TRUSTEE Pilot Campaign Plan and Evaluation Methodology. [M13], PU, R: This report will detail guidelines and the initial integration tests needed for providing the necessary feedback for the Pilot installation and realization

Live document, TRUSTEE CORE & FAIR KNOWLEDGE V1

D3.1 Live document, TRUSTEE CORE & FAIR KNOWLEDGE V1, [M15], PU, R+OT: This document will detail all work happening in WP3. The step-by-step update will provide a good tutorial for replicating TRUSTEE WP3 Work to the Consortium.

Live doc conceptualisation, use cases and system architecture V1

D2.1 Live doc conceptualisation, use cases and system architecture V1 [M12], PU, R: This live document specifies in detail the procedure for being able to implement the TRUSTEE Solution along with functional and not requirements and the requirement gathering workshops and surveys

TRUSTEE Communication and Dissemination Strategy and Plan

D6.3 TRUSTEE Communication and Dissemination Strategy and Plan [M3], PU, R

Pubblicazioni

Conference proceedings (11)

Deep Federated Unrolling for Boosting Low-resolution Lidar-based SLAM Solutions

Autori: A. Gkillas, C. Anagnostopoulos, A. Lalos
Pubblicato in: 2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), 2023, ISSN 2473-3628
Editore: IEEE
DOI: 10.1109/MMSP59012.2023.10337642

Subspace Parsimonious Dictionary Learning and its use in Federated Learning

Autori: D. Ampeliotis, A. Gkillas
Pubblicato in: 2023 24th International Conference on Digital Signal Processing (DSP), 2023, ISSN 2165-3577
Editore: IEEE
DOI: 10.1109/DSP58604.2023.10167955

Robust Cooperative Sparse Representation Solutions for Detecting and Mitigating Spoofing Attacks in Autonomous Vehicles

Autori: Piperigkos, N. and Lalos, A. S. and Anagnostopoulos, C. and Zukhraf, S. Z. N. and Laoudias, C. and Michael, M. K.
Pubblicato in: 2023 31st Mediterranean Conference on Control and Automation (MED), 2023, ISSN 2473-3504
Editore: IEEE
DOI: 10.1109/MED59994.2023.10185772

CellSecure: Securing Image Data in Industrial Internet-of-Things via Cellular Automata and Chaos-Based Encryption

Autori: Hassan Ali, Muhammad Shahbaz Khan, Maha Driss, Jawad Ahmad, William J. Buchanan, Nikolaos Pitropakis
Pubblicato in: 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), Numero 98, 2023, ISSN 2577-2465
Editore: IEEE
DOI: 10.1109/VTC2023-Fall60731.2023.10333478

AN EFFICIENT DEEP UNROLLING SUPER-RESOLUTION NETWORK FOR LIDAR AUTOMOTIVE SCENES

Autori: Alexandros Gkillas, Aris S. Lalos, Dimitris Ampeliotis
Pubblicato in: IEEE International Conference on Image Processing 2023, 2023, ISBN 978-1-7281-9835-4
Editore: IEEE
DOI: 10.1109/ICIP49359.2023.10222856

Reviewing Deep Learning-Based Feature Extractors in a Novel Automotive SLAM Framework

Autori: Christos Anagnostopoulos, Aris S. Lalos, Petros Kapsalas, Duong Van Nguyen, Chrysostomos Stylios
Pubblicato in: 2023 31st Mediterranean Conference on Control and Automation (MED), 2023, ISSN 2473-3504
Editore: IEEE
DOI: 10.1109/MED59994.2023.10185780

Explainable AI-based Intrusion Detection in the Internet of Things

Autori: M. Siganos, P. Radoglou-Grammatikakis, I. Kotsiuba, E. Markakis, I. Moscholios, S. Goudos, P. Sarigiannidis
Pubblicato in: ARES '23: Proceedings of the 18th International Conference on Availability, Reliability and Security, Numero 53, 2023
Editore: Association for Computing Machinery
DOI: 10.1145/3600160.3605162

Towards building a Self-Sovereign Identity Framework for Healthcare

Autori: Emmanouil G. Spanakis, Ilias Politis, Evangelos Markakis, Vaios Bolgouras, Anna Angelogianni, Athanasios Vasileios Grammatopoulos, Christos Xenakis, Vangelis Sakkalis
Pubblicato in: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023, ISSN 2694-0604
Editore: IEEE
DOI: 10.1109/EMBC40787.2023.10340626

Federated Deep feature extraction based SLAM for Autonomous Vehicles

Autori: C. Anagnostopoulos, A. Gkillas, N. Piperigkos, and A.S. Lalos
Pubblicato in: 2023 24th International Conference on Digital Signal Processing (DSP), 2023, ISSN 2165-3577
Editore: IEEE
DOI: 10.1109/DSP58604.2023.10167897

Federated Learning for Lidar Super Resolution on Automotive Scenes

Autori: Alexandros Gkillas, Gerasimos Arvanitis, Aris Lalos, Konstantinos Moustakas
Pubblicato in: 2023 24th International Conference on Digital Signal Processing (DSP), 2023, ISSN 2165-3577
Editore: IEEE
DOI: 10.1109/DSP58604.2023.10167942

Enabling global location awareness of CAVs via resilient diffusion in Vehicular Ad-hoc Networks

Autori: N. Piperigkos, C. Anagnostopoulos, A. Lalos
Pubblicato in: 2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), 2023, ISSN 2473-3628
Editore: IEEE
DOI: 10.1109/MMSP59012.2023.10337689

Peer reviewed articles (5)

Accelerating deep neural networks for efficient scene understanding in multi-modal automotive applications

Autori: S. Nousias, V. Pikoulis, C. Mavrokefalidis, A. Lalos
Pubblicato in: IEEE Access, Numero 11, 2023, ISSN 2169-3536
Editore: IEEE
DOI: 10.1109/ACCESS.2023.3258400

SRSS: A New Chaos-Based Single-Round Single S-Box Image Encryption Scheme for Highly Auto-Correlated Data

Autori: Muhammad Shahbaz Khan, Jawad Ahmad, Hisham Ali, Nikolaos Pitropakis, Ahmed Al-Dubai, Baraq Ghaleb, William J. Buchanan
Pubblicato in: arXiv, 2023, ISSN 2331-8422
Editore: arXiv
DOI: 10.48550/arXiv.2308.10834

Extending Online 4D Situational Awareness in Connected and Automated Vehicles

Autori: N. Piperigkos, C. Anagnostopoulos, A. S. Lalos, K. Berberidis
Pubblicato in: IEEE Transactions on Intelligent Vehicles, 2023, ISSN 2379-8904
Editore: IEEE
DOI: 10.1109/TIV.2023.3335605

A Federated Deep Unrolling Method for Lidar Super-resolution: Benefits in SLAM

Autori: A. Gkillas, A. Lalos, E. Markakis, I. Politis
Pubblicato in: IEEE Transactions on Intelligent Vehicles, Numero 9, 1, 2023, ISSN 2379-8904
Editore: IEEE
DOI: 10.1109/TIV.2023.3331533

Attacking Windows Hello for Business: Is It What We Were Promised?

Autori: Haddad, J.; Pitropakis, N.;Chrysoulas, C.; Lemoudden, M.; Buchanan, W.J.
Pubblicato in: Cryptography, Numero 7(1), 2023, ISSN 2410-387X
Editore: MDPI
DOI: 10.3390/cryptography7010009