Cyberattacks are becoming increasingly sophisticated and frequently exploit automation, artificial intelligence, and advanced techniques designed to bypass traditional security mechanisms. To address these challenges, researchers from the Faculty of Electrical Engineering and Informatics of the Technical University of Košice (FEI TUKE) are participating in the VYPAI-HaSO project focused on the research and development of advanced Artificial Intelligence solutions for cyber threat detection and defense against sophisticated attacks.

The project responds to the growing complexity of cyber threats targeting critical infrastructure, public institutions, industrial systems, and digital services. Its objective is to develop innovative methods and tools capable of identifying advanced cyberattacks through the use of Artificial Intelligence, Machine Learning, behavioral analytics, and digital forensics.

A key component of the project is the analysis of attacker tactics, techniques, and procedures (TTPs) based on the MITRE ATT&CK framework. Research teams investigate Indicators of Compromise (IoC), Indicators of Behavior (IoB), and network communication parameters that can improve the early detection of cyber incidents. The project also includes the development of simulation environments where new detection mechanisms can be tested and validated under realistic operational conditions.

FEI TUKE Contribution

Researchers from FEI TUKE contribute primarily to:

• development of AI-based methodologies for cyber threat detection,

• integration of AI models into cybersecurity platforms,

• testing and validation of advanced detection mechanisms,

• behavioral analysis of cyberattacks,

• research of innovative approaches to protecting digital infrastructures,

• publication and dissemination of scientific results.

Research activities are supported by state-of-the-art facilities, including:

• Academic Security Operations Centre (SOC),

• Cybersecurity Laboratories,

• Computer Networks Laboratory,

• Private 5G infrastructure at UVP Technicom.

These facilities provide an advanced environment for cybersecurity research, experimentation, testing, and education.

Expected Impact

The project is expected to deliver:

• advanced AI models for cyber threat detection,

• simulation platforms for cybersecurity incident analysis,

• methodologies for integrating Artificial Intelligence into security systems,

• new cybersecurity datasets and testing frameworks,

• scientific publications and technology transfer activities,

• increased cyber resilience of organizations and critical infrastructures,

• stronger collaboration between academia and industry.

Project results will also be gradually integrated into university courses focused on cybersecurity, information security, data analytics, and Artificial Intelligence, helping educate the next generation of cybersecurity professionals.

Project Information

Project Partners

• University of Žilina
• Institute for Central Europe (ICE)
• IstroSec s.r.o.
• SYTELI, s.r.o.
• Technical University of Košice

Contact

Doc. Ing. Martin Chovanec, PhD.

Faculty of Electrical Engineering and Informatics

Technical University of Košice