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 (18)

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

LLMs in Security Testing and Monitoring: An Initial Study

Auteurs: Luong Nguyen, Manh-Dung Nguyen, Anh Hao Bui, Ana Rosa Cavalli, Edgardo Montes de Oca
Publié dans: Lecture Notes in Computer Science, Availability, Reliability and Security, 2025
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-032-00644-8_9

Towards Transparent AI-Powered Cybersecurity in Financial Systems: The Deployment of Federated Learning and Explainable AI in the CaixaBank pilot

Auteurs: Aikaterini Karampasi, Panagiotis Radoglou-Grammatikis, Marek Pawlicki, Ryszard Choraś, Ramon Martin de Pozuelo, Panagiotis Sarigiannidis, Damian Puchalski, Aleksandra Pawlicka, Rafał Kozik, Michał Choraś
Publié dans: 2024 IEEE International Conference on Data Mining Workshops (ICDMW), 2024
Éditeur: IEEE
DOI: 10.1109/ICDMW65004.2024.00041

Introducing a Multi-Perspective xAI Tool for Better Model Explainability

Auteurs: Marek Pawlicki, Damian Puchalski, Sebastian Szelest, Aleksandra Pawlicka, Rafał Kozik, Michał Choraś
Publié dans: Proceedings of the 19th International Conference on Availability, Reliability and Security, 2025
Éditeur: ACM
DOI: 10.1145/3664476.3670905

Lecture Notes in Computer Science

Auteurs: Federica Uccello, Marek Pawlicki, Salvatore D’Antonio, Rafał Kozik, Michał Choraś
Publié dans: Lecture Notes in Computer Science, Intelligent Information and Database Systems, 2024, ISSN 0302-9743
Éditeur: Springer Verlag
DOI: 10.1007/978-981-97-4982-9_6

Actas de las X Jornadas Nacionales de Investigación en Ciberseguridad, JNIC 2025

Publié dans: 2025
Éditeur: Universidad de Zargoza. Servicio de Publicaciones
DOI: 10.26754/UZ.978-84-10169-61-6

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

Surrogate-Guided Adversarial Attacks: Enabling White-Box Methods in Black-Box Scenarios

Auteurs: Dimitrios Christos Asimopoulos, Panagiotis Radoglou-Grammatikis, Panagiotis Fouliras, Konstandinos Panitsidis, Georgios Efstathopoulos, Thomas Lagkas, Vasileios Argyriou, Igor Kotsiuba, Panagiotis Sarigiannidis
Publié dans: 2025 IEEE International Conference on Cyber Security and Resilience (CSR), 2025
Éditeur: IEEE
DOI: 10.1109/CSR64739.2025.11130067

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

Communications in Computer and Information Science

Auteurs: Federica Uccello, Marek Pawlicki, Aleksandra Pawlicka, Salvatore D’Antonio, Rafał Kozik, Michal Choraś
Publié dans: Communications in Computer and Information Science, Applied Intelligence, 2025, ISSN 1865-0929
Éditeur: Springer Verlag
DOI: 10.1007/978-981-96-1907-8_30

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

An Intelligent Network Fuzzer for Protocol Testing in Healthcare Systems

Auteurs: Manh-Dung Nguyen, Huu Nghia Nguyen, Lethycia Maia de Souza, Stylianos Karagiannis, Ana Rosa Cavalli, Edgardo Montes de Oca
Publié dans: Lecture Notes in Computer Science, Availability, Reliability and Security, 2025
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-032-00644-8_13

AI4COLLAB: An AI-based Threat Information Sharing Platform

Auteurs: Christos Dalamagkas, Dimitrios Asimopoulos, Panagiotis Radoglou-Grammatikis, Nikolaos Maropoulos, Thomas Lagkas, Vasileios Argyriou, Gohar Sargsyan, Panagiotis Sarigiannidis
Publié dans: 2024 IEEE International Conference on Cyber Security and Resilience (CSR), 2024
Éditeur: IEEE
DOI: 10.1109/CSR61664.2024.10679429

AAG: Adversarial Attack Generator for evaluating the robustness of Machine Learning Models against Adversarial Attacks

Auteurs: Dimitrios Christos Asimopoulos, Panagiotis Radoglou-Grammatikis, Thomas Lagkas, Vasileios Argyriou, Ioannis Moscholios, Jorgen Cani, Georgios Th. Papadopoulos, Evangelos K. Markakis, Panagiotis Sarigiannidis
Publié dans: 2024 IEEE International Conference on Big Data (BigData), 2025
Éditeur: IEEE
DOI: 10.1109/BIGDATA62323.2024.10826110

Proposition of a Novel Type of Attacks Targetting Explainable AI Algorithms in Cybersecurity

Auteurs: Sebastian Szelest, Marek Pawlicki, Aleksandra Pawlicka, Rafał Kozik, Michał Choraś
Publié dans: Lecture Notes in Computer Science, Computer Security. ESORICS 2024 International Workshops, 2025
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-82362-6_18

SHAP Insights into Domain Adaptation in Netflow-Based Network Intrusion Detection Powered by Deep Learning

Auteurs: Marek Pawlicki, Sebastian Szelest, Rafal Kozik, Michał Choraś
Publié dans: Lecture Notes in Computer Science, Availability, Reliability and Security, 2025
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-032-00644-8_18

Peer reviewed articles (13)

IEEE Transactions on Emerging Topics in Computing

Auteurs: Pavlos S. Bouzinis; Panagiotis Radoglou-Grammatikis; Ioannis Makris; Thomas Lagkas; Vasileios Argyriou; Georgios Th. Papadopoulos; Panagiotis Sarigiannidis; George K. Karagiannidis
Publié dans: IEEE Transactions on Network and Service Management, 2025, ISSN 2168-6750
Éditeur: IEEE Computer Society
DOI: 10.1109/TNSM.2025.3564387

Federated Learning: Challenges, SoTA, Performance Improvements and Application Domains

Auteurs: Ioannis Schoinas; Anna Triantafyllou; Dimosthenis Ioannidis; Dimitrios Tzovaras; Anastasios Drosou; Konstantinos Votis; Thomas Lagkas; Vasileios Argyriou; Panagiotis Sarigiannidis
Publié dans: IEEE Open Journal of the Communications Society, 2024, ISSN 2644-125X
Éditeur: IEEE
DOI: 10.1109/OJCOMS.2024.3458088

Evaluating the necessity of the multiple metrics for assessing explainable AI: A critical examination

Auteurs: Marek Pawlicki, Aleksandra Pawlicka, Federica Uccello, Sebastian Szelest, Salvatore D’Antonio, Rafał Kozik, Michał Choraś
Publié dans: Neurocomputing, Numéro 602, 2024, ISSN 0925-2312
Éditeur: Elsevier BV
DOI: 10.1016/J.NEUCOM.2024.128282

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

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

IEEE Access

Auteurs: Zoltán Ságodi; István Siket; Rudolf Ferenc
Publié dans: IEEE Access, 2024, ISSN 2169-3536
Éditeur: IEEE
DOI: 10.1109/ACCESS.2024.3403858

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

IEEE Transactions on Emerging Topics in Computing

Auteurs: Panagiotis Radoglou-Grammatikis; Pavlos S. Bouzinis; Ioannis Makris; Thomas Lagkas; Vasileios Argyriou; Georgios Th. Papadopoulos; Panagiotis Fouliras; George Seritan; Panagiotis Sarigiannidis
Publié dans: IEEE Transactions on Emerging Topics in Computing, 2025, ISSN 2168-6750
Éditeur: IEEE Computer Society
DOI: 10.1109/TETC.2025.3562346

Artificial Intelligence Review

Auteurs: Marek Pawlicki; Aleksandra Pawlicka; Rafał Kozik; Michał Choraś
Publié dans: Artificial Intelligence Review, 2024, ISSN 0269-2821
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/S10462-024-10972-3

Reinforcement Learning in action: Powering intelligent intrusion responses to advanced cyber threats in realistic scenarios

Auteurs: Eider Iturbe, Angel Rego, Oscar Llorente-Vazquez, Erkuden Rios, Christos Dalamagkas, Dimitris Merkouris, Nerea Toledo
Publié dans: Expert Systems with Applications, Numéro 296, 2025, ISSN 0957-4174
Éditeur: Elsevier BV
DOI: 10.1016/J.ESWA.2025.129168

IEEE Access

Auteurs: Marek Pawlicki
Publié dans: IEEE Access, 2024, ISSN 2169-3536
Éditeur: IEEE
DOI: 10.1109/ACCESS.2024.3454084

A comprehensive survey of Federated Intrusion Detection Systems: Techniques, challenges and solutions

Auteurs: Ioannis Makris, Aikaterini Karampasi, Panagiotis Radoglou-Grammatikis, Nikolaos Episkopos, Eider Iturbe, Erkuden Rios, Nikos Piperigkos, Aris Lalos, Christos Xenakis, Thomas Lagkas, Vasileios Argyriou, Panagiotis Sarigiannidis
Publié dans: Computer Science Review, 2024, ISSN 1574-0137
Éditeur: Elsevier BV
DOI: 10.1016/J.COSREV.2024.100717

Enhancing Accountability, Resilience, and Privacy of Intelligent Networks With XAI

Auteurs: Thulitha Senevirathna, Chamara Sandeepa, Bartlomiej Siniarski, Manh-Dung Nguyen, Samuel Marchal, Michell Boerger, Madhusanka Liyanage, Shen Wang
Publié dans: IEEE Open Journal of the Communications Society, Numéro 6, 2025, ISSN 2644-125X
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/OJCOMS.2025.3608784

Neurocomputing

Auteurs: Rafał Kozik; Gracjan Kątek; Marta Gackowska; Sebastian Kula; Joanna Komorniczak; Paweł Ksieniewicz; Aleksandra Pawlicka; Marek Pawlicki; Michał Choraś
Publié dans: Neurocomputing, 2024, ISSN 0925-2312
Éditeur: Elsevier
DOI: 10.1016/J.NEUCOM.2024.128450