Trustworthy Artificial Intelligence for Cybersecurity Reinforcement and System Resilience

Informazioni relative al progetto

AI4CYBER

ID dell’accordo di sovvenzione: 101070450

DOI

10.3030/101070450

Progetto chiuso

Data della firma CE 22 Giugno 2022

Data di avvio 1 Settembre 2022

Data di completamento 31 Agosto 2025

Finanziato da

• Civil Security for Society

Costo totale

€ 3 998 413,00

Contributo UE

€ 3 998 413,00

Coordinato da

FUNDACION TECNALIA RESEARCH & INNOVATION
Spain

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

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.

Pubblicazioni

Conference proceedings (6)

Time Series Problems in the Energy Sector

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

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

Autori: Anis Bouaziz, Manh-Dung Nguyen, Valeria Valdès, Ana Rosa Cavalli and Wissam Mallouli
Pubblicato in: ICSOFT 2023 conference, 2023, ISSN 2184-2833
Editore: SPRINGER
DOI: 10.5220/0012125100003538

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

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

Explainable Artificial Intelligence 101: Techniques, Applications and Challenges

Autori: Kurek, W., Pawlicki, M., Pawlicka, A., Kozik, R., Choraś, M
Pubblicato in: 19th International Conference on Advanced Intelligent Computing Technology and Applications, 2023, ISBN 978-981-99-4752-2
Editore: 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

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

Detection of Physical Adversarial Attacks on Traffic Signs for Autonomous Vehicles

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

Peer reviewed articles (1)

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

Autori: Stylianos Karagiannis, Emmanouil Magkos, Christoforos Ntantogian,Ricardo Cabecinha and Theofanis Fotis
Pubblicato in: MDPI Applied sciences, 2023, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/APP131810072