{"id":9197,"date":"2026-04-07T00:11:04","date_gmt":"2026-04-06T22:11:04","guid":{"rendered":"https:\/\/cyberawareness.sk\/?page_id=9197"},"modified":"2026-04-07T13:42:54","modified_gmt":"2026-04-07T11:42:54","slug":"vyskumna-cinnost-kc-kb-upjs","status":"publish","type":"page","link":"https:\/\/cyberawareness.sk\/en\/vyskumna-cinnost-kc-kb-upjs\/","title":{"rendered":"V\u00fdskumn\u00e1 \u010dinnos\u0165 KC KB UPJ\u0160"},"content":{"rendered":"
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The research activities of the Competence Center for Cybersecurity at UPJ\u0160 (KC KB UPJ\u0160) are focused on connecting theoretical and applied research in the field of information and cybersecurity (KIB). Researchers are engaged in the systematic collection, processing and analysis of data, the designing of new methodologies and the application of advanced analytical approaches (machine learning, data analysis) with the aim of increasing the level of protection of information systems and understanding of cybersecurity threats. Emphasis is placed on the practical usability of the results in the form of tools, methodologies and decision-making support for security practice.<\/p>

Research Focuses of the KC KB UPJ\u0160<\/h2>

1. Situational Awareness in Cybersecurity<\/strong><\/span><\/h3>

A significant part of the research is devoted to modeling and predicting the security situation in cyberspace. The research covers all three levels of situational awareness \u2013 perception, understanding and projection of the future development of security events. Time series methods and neural networks (e.g. LSTM) are mainly used to predict security incidents and trends.<\/p>

2. Application of Machine Learning and Artificial Intelligence in Cybersecurity<\/strong><\/span><\/h3>

The research includes the implementation of machine learning methods of artificial intelligence in the analysis of security data, including malware detection, behavioral analysis and processing of large data sets. Special attention is paid to the automation of the response to cyber security incidents, the implementation of digital forensic analysis and the detection of cyber threats.<\/p>

3. Analysis of legal aspects of cybersecurity and artificial intelligence<\/strong><\/span><\/h3>

The research connects technical and legal aspects of cybersecurity, especially in the areas of artificial intelligence regulation, data protection and liability for damages. It focuses on the analysis of EU legal frameworks (e.g. GDPR, NIS2, AI Act) and their application in practice, while identifying areas of legal uncertainty and proposing solutions.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Sub-activities of the KC KB UPJ\u0160 in the research area<\/strong><\/h2>

1. Scientific publications<\/span><\/strong><\/h3>

The research activities of the KC KB UPJ\u0160 are presented through scientific publications published in international conferences and journals. Publication outputs cover areas such as cyber situational awareness, time series analysis of security events, digital forensic analysis and application of AI in security.<\/p>

List of articles<\/strong> can be found at this link<\/a>.<\/p>

Older articles<\/strong> by members of the KC KB UPJ\u0160 in the field of cybersecurity, data protection and cybercrime can be found at this link<\/a>.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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2. Analysis of current approaches and trends in cybersecurity research (state of the art)<\/strong><\/span><\/h3>

The KC KB UPJ\u0160 systematically monitors and analyses current approaches and trends in cybersecurity research, especially in the field of data analysis and artificial intelligence. The result is the creation of overviews of research directions, identification of new challenges and formulation of research topics.<\/p>

Analysis of current approaches and trends in the areas of:<\/p>

Cyber \u200b\u200bSituational Awareness<\/strong><\/h4>

Research in this area focuses on modeling the security situation in cyberspace through three levels, namely perception, understanding and projection of future developments. The emphasis is on processing large volumes of heterogeneous data (e.g. logs, IDS alerts, network traffic) and transforming them into understandable analytical outputs for operators. An important research topic is the prediction of cyber security incidents using methods such as time series, Bayesian networks or Markov models. The research also reflects challenges such as \"data overload\", the lack of quality datasets and the need for real-time analysis.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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