Trustworthy Artificial Intelligence for Cybersecurity Reinforcement and System Resilience

Informations projet

AI4CYBER

N° de convention de subvention: 101070450

DOI

10.3030/101070450

Projet clôturé

Date de signature de la CE 22 Juin 2022

Date de début 1 Septembre 2022

Date de fin 31 Août 2025

Financé au titre de

• Civil Security for Society

Coût total

€ 3 998 413,00

Contribution de l’UE

€ 3 998 413,00

Coordonné par

FUNDACION TECNALIA RESEARCH & INNOVATION
Spain

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

Data Management Plan (1)

Data Management Plan - Initial version

This document details the established procedures and criteria to guarantee ethics and privacy in all project activities and outcomes, as well as the data management strategy of the project.

Other (1)

AI-driven self-testing and automatic error correction for robustness - Initial version

The first version of the description of methodology and prototype implementation for automatic correction of robustness related weaknesses and AI boosted symbolic execution-based vulnerability identification algorithms.

Websites, patent fillings, videos etc. (1)

AI4CYBER Communication Tools

This deliverable will cover the set-up of social media channels, templates, flyers and all communication supporting materials. The initial version of the project website will include at least project objectives and contact details. AI4CYBER website will be set-up by TECNALIA and continuously enhanced by all partners to include public downloadable results and links to related news and initiatives.

Publications

Conference proceedings (6)

Time Series Problems in the Energy Sector

Auteurs: Christos Dalamagkas, Angelos Georgakis, Ioannis Papadopoulos, Kostas Hrissagis-Chrysagis, George Papadakis
Publié dans: 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW), 2024, ISSN 2473-3490
Éditeur: IEEE
DOI: 10.1109/ICDEW61823.2024.00021

Study on Adversarial Attacks Techniques, Learning Methods and Countermeasures - Application to Anomaly Detection.

Auteurs: Anis Bouaziz, Manh-Dung Nguyen, Valeria Valdès, Ana Rosa Cavalli and Wissam Mallouli
Publié dans: ICSOFT 2023 conference, 2023, ISSN 2184-2833
Éditeur: SPRINGER
DOI: 10.5220/0012125100003538

Interpreting Intrusions - The Role of Explainability in AI-based Intrusion Detection Systems

Auteurs: Marek Pawlicki, Aleksandra Pawlicka, Mścisłaẃ Śrutek, Rafal Kozik, Michal Choraś
Publié dans: Progress on Pattern Classification, Image Processing and Communications. CORES IP&C 2023, 2023, ISBN 978-3-031-41630-9
Éditeur: SPRINGER
DOI: 10.1007/978-3-031-41630-9_5

Explainable Artificial Intelligence 101: Techniques, Applications and Challenges

Auteurs: Kurek, W., Pawlicki, M., Pawlicka, A., Kozik, R., Choraś, M
Publié dans: 19th International Conference on Advanced Intelligent Computing Technology and Applications, 2023, ISBN 978-981-99-4752-2
Éditeur: SPRINGER
DOI: 10.1007/978-981-99-4752-2_26

Breaching the Defense: Investigating FGSM and CTGAN Adversarial Attacks on IEC 60870-5-104 AI-enabled Intrusion Detection Systems

Auteurs: Dimitrios Christos Asimopoulos; Panagiotis Radoglou-Grammatikis; Ioannis Makris; Valeri Mladenov; Konstantinos E. Psannis; Sotirios Goudos; Panagiotis Sarigiannidis
Publié dans: ARES '23: Proceedings of the 18th International Conference on Availability, Reliability and Security, 2023, ISBN 9798400707728
Éditeur: ACM
DOI: 10.1145/3600160.3605163

Detection of Physical Adversarial Attacks on Traffic Signs for Autonomous Vehicles

Auteurs: Barbara Villarini, Panagiotis Radoglou-Grammatikis, Thomas Lagkas, Panagiotis Sarigiannidis and Vasileios Argyriou
Publié dans: 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), 2023, ISSN 2834-8249
Éditeur: IEEE
DOI: 10.1109/IAICT59002.2023.10205591

Peer reviewed articles (1)

Cybersecurity and Medical Imaging: A Simulation-Based Approach to DICOM Communication

Auteurs: Stylianos Karagiannis, Emmanouil Magkos, Christoforos Ntantogian,Ricardo Cabecinha and Theofanis Fotis
Publié dans: MDPI Applied sciences, 2023, ISSN 2076-3417
Éditeur: MDPI
DOI: 10.3390/APP131810072