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

Informations projet

TRUSTEE

N° de convention de subvention: 101070214

DOI

10.3030/101070214

Date de signature de la CE 21 Juin 2022

Date de début 1 Juillet 2022

Date de fin 31 Decembre 2025

Financé au titre de

• Digital, Industry and Space

Coût total

€ 8 706 263,75

Contribution de l’UE

€ 8 706 263,00

Coordonné par

IDRYMA TECHNOLOGIAS KAI EREVNAS
Greece

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

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

Publications

Conference proceedings (11)

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

Auteurs: A. Gkillas, C. Anagnostopoulos, A. Lalos
Publié dans: 2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), 2023, ISSN 2473-3628
Éditeur: IEEE
DOI: 10.1109/MMSP59012.2023.10337642

Subspace Parsimonious Dictionary Learning and its use in Federated Learning

Auteurs: D. Ampeliotis, A. Gkillas
Publié dans: 2023 24th International Conference on Digital Signal Processing (DSP), 2023, ISSN 2165-3577
Éditeur: IEEE
DOI: 10.1109/DSP58604.2023.10167955

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

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

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

Auteurs: Hassan Ali, Muhammad Shahbaz Khan, Maha Driss, Jawad Ahmad, William J. Buchanan, Nikolaos Pitropakis
Publié dans: 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), Numéro 98, 2023, ISSN 2577-2465
Éditeur: IEEE
DOI: 10.1109/VTC2023-Fall60731.2023.10333478

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

Auteurs: Alexandros Gkillas, Aris S. Lalos, Dimitris Ampeliotis
Publié dans: IEEE International Conference on Image Processing 2023, 2023, ISBN 978-1-7281-9835-4
Éditeur: IEEE
DOI: 10.1109/ICIP49359.2023.10222856

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

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

Explainable AI-based Intrusion Detection in the Internet of Things

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

Towards building a Self-Sovereign Identity Framework for Healthcare

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

Federated Deep feature extraction based SLAM for Autonomous Vehicles

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

Federated Learning for Lidar Super Resolution on Automotive Scenes

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

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

Auteurs: N. Piperigkos, C. Anagnostopoulos, A. Lalos
Publié dans: 2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), 2023, ISSN 2473-3628
Éditeur: IEEE
DOI: 10.1109/MMSP59012.2023.10337689

Peer reviewed articles (5)

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

Auteurs: S. Nousias, V. Pikoulis, C. Mavrokefalidis, A. Lalos
Publié dans: IEEE Access, Numéro 11, 2023, ISSN 2169-3536
Éditeur: 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

Auteurs: Muhammad Shahbaz Khan, Jawad Ahmad, Hisham Ali, Nikolaos Pitropakis, Ahmed Al-Dubai, Baraq Ghaleb, William J. Buchanan
Publié dans: arXiv, 2023, ISSN 2331-8422
Éditeur: arXiv
DOI: 10.48550/arXiv.2308.10834

Extending Online 4D Situational Awareness in Connected and Automated Vehicles

Auteurs: N. Piperigkos, C. Anagnostopoulos, A. S. Lalos, K. Berberidis
Publié dans: IEEE Transactions on Intelligent Vehicles, 2023, ISSN 2379-8904
Éditeur: IEEE
DOI: 10.1109/TIV.2023.3335605

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

Auteurs: A. Gkillas, A. Lalos, E. Markakis, I. Politis
Publié dans: IEEE Transactions on Intelligent Vehicles, Numéro 9, 1, 2023, ISSN 2379-8904
Éditeur: IEEE
DOI: 10.1109/TIV.2023.3331533

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

Auteurs: Haddad, J.; Pitropakis, N.;Chrysoulas, C.; Lemoudden, M.; Buchanan, W.J.
Publié dans: Cryptography, Numéro 7(1), 2023, ISSN 2410-387X
Éditeur: MDPI
DOI: 10.3390/cryptography7010009