The EUCINF project is pushing the boundaries of Cyber and Information Warfare (CIW) research and technology in Europe. Its mission is to study, design, prototype, test, and demonstrate cutting-edge capabilities through an integrated and comprehensive toolbox: a holistic system that includes a coherent set of components, an interoperability framework with its testbed, and a repository (Store) capable of hosting tools and metadata.
As a reference hub for AI-driven, configurable components and an experimental CIW platform, EUCINF enables the exploration, evaluation, and deployment of innovative solutions in realistic operational environments. Its capabilities are showcased through three operational CIW scenarios and a set of use cases designed in close collaboration with military personnel from European Ministries of Defence—ensuring full compliance with legal, ethical, and social requirements.
Operating under a generic Cyber & Information Warfare workflow, EUCINF spans the entire lifecycle: data, analysis, processing, and knowledge capitalization, and Counter Measures and Mission management. This integrated approach is key to enhance the development, deployment, and practical use of the EUCINF Toolbox across strategic European defense contexts.
Scientific Contributions Powered by EUCINF Partners
The EUCINF project has fostered strong collaboration among research institutions, universities, and industry partners. This joint effort has already resulted in several high-quality scientific publications that advance the state of the art in cyber defense, AI, OSINT, NLP (Natural Language Processing), and Deepfake detection technologies.
Below is an overview of the published papers and their contributions:
1. Enhancing Cyber Situational Awareness with AI: A Novel Pipeline Approach for Threat Intelligence Analysis and Enrichment..
Dzenan Hamzic, Florian Skopik, Max Landauer, Markus Wurzenberger, and Andreas Rauber. AIT Austrian Institute of Technology, Vienna, Austria.
Published on August 9, 2025. 20th International Conference on Availability, Reliability and Security (ARES 2025), held in Ghent, Belgium, from August 11 to 14, 2025.
2. Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models.
Lam Pham, Phat Lam, Truong Nguyen, Huyen Nguyen and Alexander Schindler. AIT Austrian Institute of Technology, Vienna, Austria. Presented at the 2024 IEEE 5th International Symposium on the Internet of Sounds (IS2) in Erlangen, Germany, from September 30 to October 2, 2024.
The final version was indexed in IEEE Xplore on October 7, 2024, following a preliminary publication on arXiv on July 1, 2024.
3. A Comprehensive Survey with Critical Analysis for Deepfake Speech Detection.
Lam Pham, Phat Lam, Dat Tran, Hieu Tang, Tin Nguyen, Alexander Schindler, Florian Skopik, Alexander Polonsky and Canh Vu.
AIT Austrian Institute of Technology, Vienna, Austria.
The article was initially published on arXiv, with several revisions:
First publication: September 23, 2024 (v1). Last available revision: March 25, 2025 (v4)
4. DIN-CTS: Low-Complexity Depthwise-Inception Neural Network with Contrastive Training Strategy for Deepfake Speech Detection.
Dat Tran, Florian Skopik, Alexander Schindler, Silvia Poletti, Fischinger David and Martin Boyer.
AIT Austrian Institute of Technology, Vienna, Austria.
Published as a preprint on arXiv, with two registered versions: First version (v1): February 27, 2025. Last revision (v2): March 31, 2025
5. Evaluation and Comparison of Open-Source LLMs Using Natural Language Generation Quality Metrics.
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Dzenan Hamzic1, Markus Wurzenberger1, Florian Skopik1, Max Landauer1 and Andreas Rauber2.
1 AIT Austrian Institute of Technology, Vienna, Austria. 2 TU Wien, Vienna, Austria.
The paper was officially published as part of: Conference: 2024 IEEE International Conference on Big Data. Publication in IEEE Xplore: December 18, 2024
6. Lutte contre les manipulations de l’information. Regards croisés de spécialistes et d’acteurs du domaine. Tome #2 (Article)
) Benjamin COSTE, AIRBUS Defence and Space Cyber. Published November 2024. The document is publicly available through the: Pôle d’Excellence Cyber (PEC)
7. EUCINF: EUropean Cyber and INFormation warfare toolbox)
Alejandro Buitrago Lopez1, Teresa García de Alcaraz Ruiz1, Mario Fernandez Tárraga1, Alejandro D. Cayuela Tudela1, Felipe Sánchez González1, Jose A. Ruipérez-Valiente1, Javier Pastor-Galindo†2
1Department of Information and Communications Engineering, University of Murcia. Murcia, Spain. 2Computer Systems Engineering Department†. Universidad Politécnica of Madrid, Spain.
Published in 2025 at the X National Cybersecurity Research Conference (JNIC), a Spanish academic congress specializing in cybersecurity.
8. NotMyNarrative at SemEval-2025 Task 10: Do narrative features share across languages in multilingual encoder models?
Géraud Faye1,2, Guillaume Gadek1, Wassila Ouerdane2 , Céline Hudelot2, Sylvain Gatepaille1
1 Airbus Defence and Space, 2Université Paris-Saclay - CentraleSupélec - MICS
Published in the Event: 19th International Workshop on Semantic Evaluation (SemEval-2025). ACL Anthology. Vienna (Austria) Conference Date: July 2025
9. TTP Classification with Minimal Labeled Data: A Retrieval-Based Few-Shot Learning Approach
Dzenan Hamzic1, Florian Skopik1, Max Landauer1, Markus Wurzenberger1 and Andreas Rauber2
1 AIT Austrian Institute of Technology, Vienna, Austria. 2 Vienna University of Technology, Vienna, Austria
Published in the International Conference on Availability, Reliability and Security (ARES 2025). Part of the Springer Lecture Notes in Computer Science (LNCS 15993) series. First published online: August 10, 2025
10. SC4OSINT: A Story Clustering Approach to Optimize OSINT Analysis
Elisabeth Woisetschläger, Medina Andresel, Florian Skopik, Benjamin Akhras, Peter Leitmann, Max Landauer, Markus Wurzenberger, Alexander Schindler. AIT Austrian Institute of Technology.
Published at the ARES 2025 International Workshops, Ghent, Belgium, August 11–14, 2025, Proceedings, Part II
