AI-ASsisted cybersecurity platform empowering SMEs to defend against adversarial AI attacks

Informazioni relative al progetto

AIAS

ID dell’accordo di sovvenzione: 101131292

DOI

10.3030/101131292

Data della firma CE 20 Settembre 2023

Data di avvio 1 Gennaio 2024

Data di completamento 31 Dicembre 2027

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 1 564 000,00

Coordinato da

UNIVERSITY OF PIRAEUS RESEARCH CENTER
Greece

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

Documents, reports (6)

Quality Assurance

Will describe the project quality plan.

Specification & Business cases

Will deliver AIAS specifications and its real-life business cases.

Taxonomy of Adversarial AI attacks

Will deliver the AIAS taxonomy of adversarial AI attacks (T3.3) as a survey.

Data Management Plan

Will describe the project's data management plan, and gender equality plan.

Requirements & Reference Architecture

Will deliver technical requirements and AIAS architecture.

AIAS Deception Layer

Will depict the deception (T3.1) and monitoring mechanisms as well as the smart analytics (T3.2) that constitute the virtualization layer

Pubblicazioni

Peer reviewed articles (5)

Trust Score Prediction for IoT Device Onboarding Using Transfer and Few-Shot Learning in Consumer Electronics

Autori: Politis, Ilias; Bampatsikos, Michail; Zarras, Apostolis; Xenakis, Christos
Pubblicato in: IEEE Transactions on Consumer Electronics, 2025
Editore: IEEE
DOI: 10.5281/ZENODO.17520725

Trust Score Prediction and Management in IoT Ecosystems Using Markov Chains and MADM Techniques

Autori: Michail Bampatsikos, Ilias Politis, Thodoris Ioannidis, Christos Xenakis
Pubblicato in: IEEE Transactions on Consumer Electronics, Numero 71, 2025, ISSN 0098-3063
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TCE.2025.3531045

Defending industrial internet of things against Modbus/TCP threats: A combined AI-based detection and SDN-based mitigation solution

Autori: Thanasis Kotsiopoulos; Panagiotis Radoglou-Grammatikis; Zacharenia Lekka; Valeri Mladenov; Panagiotis Sarigiannidis
Pubblicato in: International Journal of Information Security, 2025
Editore: SPRINGER NATURE
DOI: 10.1007/S10207-025-01076-2

Testing the limits: exploring adversarial techniques in AI models

Autori: Apostolis Zarras, Athanasia Kollarou, Aristeidis Farao, Panagiotis Bountakas, Christos Xenakis
Pubblicato in: PeerJ Computer Science, Numero 11, 2025, ISSN 2376-5992
Editore: PeerJ
DOI: 10.7717/PEERJ-CS.3330

From vulnerability to resilience: Adversarial training and real-time detection for AI security

Autori: Georgios Ziras, Aristeidis Farao, Apostolis Zarras, Christos Xenakis
Pubblicato in: Array, Numero 28, 2025, ISSN 2590-0056
Editore: Elsevier BV
DOI: 10.1016/J.ARRAY.2025.100546

Conference proceedings (5)

Adversarial AI Attack Detection: A Novel Approach Using Explainable AI and Deception Mechanisms

Autori: Maria NICULAE, Georgios KALPAKTSOGLOU, Anastasia TSIOTA, Giorgio BERNARDINETTI, Zacharenia LEKKA, Nikolaos Sachpelidis BROZOS, Panagiotis Radoglou GRAMMATIKIS, Ignacio LACALLE, Dionysios XENAKIS, Chri
Pubblicato in: 2024
Editore: Pro Universitaria Publishing House
DOI: 10.5281/ZENODO.17953764

Real-Time Digital Ecosystems: Integrating Virtual Personas and Digital Twins Through Microservices

Autori: Cosmina Stalidi, Eduard-Cristian Popovici, George Suciu
Pubblicato in: Lecture Notes in Computer Science, Availability, Reliability and Security, 2025
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-032-00642-4_8

Cross-Vertical Integration of AI, Blockchain, and IoT for Secure and Resilient Digital Health Ecosystems

Autori: George Suciu, Cosmina Stalidi, Eduard-Cristian Popovici
Pubblicato in: 2025 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), 2025
Editore: IEEE
DOI: 10.1109/BLACKSEACOM65655.2025.11193950

AIAS: AI-ASsisted cybersecurity platform to defend against adversarial AI attacks

Autori: Georgios Petihakis, Aristeidis Farao, Panagiotis Bountakas, Athanasia Sabazioti, John Polley, Christos Xenakis
Pubblicato in: Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024
Editore: ACM
DOI: 10.1145/3664476.3669920

Deception Mechanisms for Cyber-Security Enhancement in the Internet of Things

Autori: Lacalle, Ignacio; Cuñat Negueroles, Salvador; Farao, Aristeidis; Xenakis, Christos; Xenakis, Dionysis; Palau, Carlos E.
Editore: IEEE
DOI: 10.1109/CAMAD62243.2024.10942923

Book chapters (1)

Chapter 12 Cybersecurity Challenges and Pitfalls in 6G Networks

Autori: Aristeidis Farao, Vaios Bolgouras, Apostolis Zarras, Christos Xenakis
Pubblicato in: Holistic IoT Security, Privacy and Safety: Integrated, Approaches Protecting A Highly Connected World, 2025
Editore: Now Publishers
DOI: 10.1561/9781638285076.CH12