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 (18)

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

LLMs in Security Testing and Monitoring: An Initial Study

Autori: Luong Nguyen, Manh-Dung Nguyen, Anh Hao Bui, Ana Rosa Cavalli, Edgardo Montes de Oca
Pubblicato in: Lecture Notes in Computer Science, Availability, Reliability and Security, 2025
Editore: 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

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

Introducing a Multi-Perspective xAI Tool for Better Model Explainability

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

Lecture Notes in Computer Science

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

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

Pubblicato in: 2025
Editore: 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.

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

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

Autori: Dimitrios Christos Asimopoulos, Panagiotis Radoglou-Grammatikis, Panagiotis Fouliras, Konstandinos Panitsidis, Georgios Efstathopoulos, Thomas Lagkas, Vasileios Argyriou, Igor Kotsiuba, Panagiotis Sarigiannidis
Pubblicato in: 2025 IEEE International Conference on Cyber Security and Resilience (CSR), 2025
Editore: 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

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

Communications in Computer and Information Science

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

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

An Intelligent Network Fuzzer for Protocol Testing in Healthcare Systems

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

AI4COLLAB: An AI-based Threat Information Sharing Platform

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

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

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

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

Autori: Sebastian Szelest, Marek Pawlicki, Aleksandra Pawlicka, Rafał Kozik, Michał Choraś
Pubblicato in: Lecture Notes in Computer Science, Computer Security. ESORICS 2024 International Workshops, 2025
Editore: 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

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

Peer reviewed articles (13)

IEEE Transactions on Emerging Topics in Computing

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

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

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

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

Autori: Marek Pawlicki, Aleksandra Pawlicka, Federica Uccello, Sebastian Szelest, Salvatore D’Antonio, Rafał Kozik, Michał Choraś
Pubblicato in: Neurocomputing, Numero 602, 2024, ISSN 0925-2312
Editore: Elsevier BV
DOI: 10.1016/J.NEUCOM.2024.128282

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

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

IEEE Access

Autori: Zoltán Ságodi; István Siket; Rudolf Ferenc
Pubblicato in: IEEE Access, 2024, ISSN 2169-3536
Editore: IEEE
DOI: 10.1109/ACCESS.2024.3403858

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

IEEE Transactions on Emerging Topics in Computing

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

Artificial Intelligence Review

Autori: Marek Pawlicki; Aleksandra Pawlicka; Rafał Kozik; Michał Choraś
Pubblicato in: Artificial Intelligence Review, 2024, ISSN 0269-2821
Editore: 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

Autori: Eider Iturbe, Angel Rego, Oscar Llorente-Vazquez, Erkuden Rios, Christos Dalamagkas, Dimitris Merkouris, Nerea Toledo
Pubblicato in: Expert Systems with Applications, Numero 296, 2025, ISSN 0957-4174
Editore: Elsevier BV
DOI: 10.1016/J.ESWA.2025.129168

IEEE Access

Autori: Marek Pawlicki
Pubblicato in: IEEE Access, 2024, ISSN 2169-3536
Editore: IEEE
DOI: 10.1109/ACCESS.2024.3454084

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

Autori: 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
Pubblicato in: Computer Science Review, 2024, ISSN 1574-0137
Editore: Elsevier BV
DOI: 10.1016/J.COSREV.2024.100717

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

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

Neurocomputing

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