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

Livrables

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

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

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

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

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

Livrables

Publications

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