Autonomous Swarm of Heterogeneous resources in infrastructure protection via threat prediction and prevention

Project Information

TESTUDO

Grant agreement ID: 101121258

DOI

10.3030/101121258

Project closed

EC signature date 17 August 2023

Start date 1 October 2023

End date 30 September 2026

Funded under

• Civil Security for Society

Total cost

No data

EU contribution

€ 5 561 035,25

Coordinated by

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
Greece

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (3)

Mid-term review and progress report

The document will report all activities performed during the first half period of the project

Exploitation plans and impact pathways assessment

The document will report the developed exploitation pans along with the definition of actions to increase impact and their assessment.

Dissemination plan and communication materials

The document will report the dissemination plan and the materials to be used for these plans.

Publications

Conference proceedings (7)

TESTUDO: Autonomous swarm of heterogeneous resources in infrastructure protection via threat prediction and prevention

Author(s): Stella Parisi, Konstantinos Ioannidis, Stefanos Vrochidis, Ioannis Kompatsiaris
Published in: 2024
Publisher: -
DOI: 10.5281/ZENODO.15350954

ABAS-RAL: ADAPTIVE BATCH SIZE USING REINFORCED ACTIVE LEARNING

Author(s): Lazaridis, I., Psaltis, A., Dimou, A., & Daras, P.
Published in: 2026 IEEE International Conference on Image Processing Satellite Workshops - The Second Workshop on Learning Beyond Deep Learning (ICIP 2026 - LBDL II), Tampere, Finland., 2026
Publisher: Zenodo
DOI: 10.5281/ZENODO.21024846

Cognitive and Predictive Intelligence for threat identification and operational support in Critical Infrastructure Protection

Author(s): Parisi, Stella; Ioannidis, Konstantinos; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Yiannis)
Published in: 2024
Publisher: -
DOI: 10.5281/ZENODO.15352324

Cen-FedRAL: Bridging Centralized Reinforcement Learning Training and Federated Active Learning for Dynamic Batch Acquisition on Resource-Constrained Devices

Author(s): Lazaridis, I., Psaltis, A., Dimou, A., & Daras, P.
Published in: ECCV 2026 Workshop on Privacy-Friendly Artificial Intelligence for Computer Vision (PFATCV) (ECCV 2026 – PFATCV), Malmö, Sweden., 2026
Publisher: Zenodo
DOI: 10.5281/ZENODO.21805940

Topological Safeguard for Evasion Attack based on the Interpretability of Artificial Neural Network Behavior (Extended Abstract)

Author(s): Echeberria, X.
Published in: XIX REUNIÓN ESPAÑOLA SOBRE CRIPTOLOGÍA Y SEGURIDAD DE LA INFORMACIÓN (pp. 370–374), 2026
Publisher: Zenodo
DOI: 10.5281/ZENODO.20375865

ETHICAL & LEGAL RESPONSIBILITY FOR ARTIFICIAL INTELLIGENCE. THE REGULATORY REGIME FOR HIGH-RISK ARTIFICIAL INTELLIGENCE SYSTEMS

Author(s): Polina Petrova, Rada Stoilova
Published in: Modern aspects of security - Challenges, Approaches, Solutions, 2024, ISSN 2738-7526
Publisher: "Faculty ""Command and Staff"" of the National Defence College of Bulgaria"

Hierarchical Semantic Gating for Efficient Real-Time Action Recognition in Critical Infrastructure

Author(s): Beldarrain Portugal, J., Calle Armendáriz, J., Redó Nieto, D., & Leskovsky, P.
Published in: 6th International Conference on Robotics, Computer Vision and Intelligent Systems (ROBOVIS 2026), Marbella, Spain, 2027
Publisher: Sringer Nature
DOI: 10.5281/ZENODO.20377176

Peer reviewed articles (2)

Perimeter Security Utilizing Thermal Object Detection

Author(s): Georgios Orfanidis, Konstantinos Ioannidis, Stefanos Vrochidis, Ioannis Kompatsiaris
Published in: Sensors, Issue 25, 2025, ISSN 1424-8220
Publisher: MDPI AG
DOI: 10.3390/S25216680

Neural Network Implementation for Fire Detection in Critical Infrastructures: A Comparative Analysis on Embedded Edge Devices

Author(s): Jon Aramendia, Andrea Cabrera, Jon Martín, Jose Ángel Gumiel, Koldo Basterretxea
Published in: Electronics, Issue 14, 2025, ISSN 2079-9292
Publisher: MDPI AG
DOI: 10.3390/ELECTRONICS14091809