Security Group
Security @ KInIT

The Security group is dedicated to the research of malicious behavior detection, behavioral biometrics, creating new models in behavioral security, application of ethics to the process of software development and applying ethic codex for trustworthy AI.


The primary research focus of the Security group are quantitative methods such as machine learning (particularly deep learning), feature extraction for behavioral security, forensic analysis of computer systems, and ethical guidelines for trustworthy AI.


The domains of application include detection of security threats such as malware and network attacks, user identification and verification, software design with focus on privacy and application of ethical codex for trustworthy AI.

Research team

Daniela Chudá
(Group leader)

Associate professor focusing on privacy, security of information systems, behavioural biometric authentication and user modelling. Her research also includes similarity of texts and detection of misinformation. She was 8 years a vice-dean of the faculty responsible for study at FIIT STU.

Peter Lacko

Associate professor focusing on artificial intelligence. His research interests focus on the reinforcement learning, neural networks, board games and parallel and distributed computing. He was a head of the Institute of Informatics, Information Systems and Software Engineering at FIIT STU. He is a member of IEEE and ACM.

Peter Pištek

Assistant professor focusing on information security. He authored a novel course aimed on computer forensics analysis. He is a former vice-dean for bachelor study and faculty propagation at FIIT STU. Besides information security he is interested in learning analytics and education data science in research.

Jakub Ševcech

Post-doc researcher focusing on data analysis and machine learning. Specifically on interpretable machine learning models and anomaly detection.

Juraj Podroužek

Philosopher and IT manager focusing on ICT ethics, especially on the ethics of AI and Value sensitive design. He is concerned with the application of ethical values and principles into the development and deployment of digital technologies. Founder of E-tika association and candidate for AI ethics and regulations committee.

Kamil Burda

Researcher with experience in the domain of behavioral biometrics in the context of user authentication on mobile devices and user recognition based on hand gestures. His current research focus at KInIT includes computer security with the use of artificial intelligence.

Martin Mocko

Researcher focusing on data analysis, machine learning and deep learning and their application in the security domain. His research is currently focused on malware detection using machine learning. Past research includes anomaly detection in the bank domain, time-series forecasting, and high-dimensional data visualization techniques.

Ján Čegiň

Researcher focusing on software testing with emphasis on safety critical systems. His research is oriented on the usability of machine learning methods in the field of software testing, specifically test data generation for unit testing.

Daniela Chudá
(Group leader)

Associate professor focusing on privacy, security of information systems, behavioural biometric authentication and user modelling. Her research also includes similarity of texts and detection of misinformation. She was 8 years a vice-dean of the faculty responsible for study at FIIT STU.

Peter Lacko

Associate professor focusing on artificial intelligence. His research interests focus on the reinforcement learning, neural networks, board games and parallel and distributed computing. He was a head of the Institute of Informatics, Information Systems and Software Engineering at FIIT STU. He is a member of IEEE and ACM.

Peter Pištek

Assistant professor focusing on information security. He authored a novel course aimed on computer forensics analysis. He is a former vice-dean for bachelor study and faculty propagation at FIIT STU. Besides information security he is interested in learning analytics and education data science in research.

Jakub Ševcech

Post-doc researcher focusing on data analysis and machine learning. Specifically on interpretable machine learning models and anomaly detection.

Juraj Podroužek

Philosopher and IT manager focusing on ICT ethics, especially on the ethics of AI and Value sensitive design. He is concerned with the application of ethical values and principles into the development and deployment of digital technologies. Founder of E-tika association and candidate for AI ethics and regulations committee.

Kamil Burda

Researcher with experience in the domain of behavioral biometrics in the context of user authentication on mobile devices and user recognition based on hand gestures. His current research focus at KInIT includes computer security with the use of artificial intelligence.

Martin Mocko

Researcher focusing on data analysis, machine learning and deep learning and their application in the security domain. His research is currently focused on malware detection using machine learning. Past research includes anomaly detection in the bank domain, time-series forecasting, and high-dimensional data visualization techniques.

Ján Čegiň

Researcher focusing on software testing with emphasis on safety critical systems. His research is oriented on the usability of machine learning methods in the field of software testing, specifically test data generation for unit testing.

Daniela Chudá
(Group leader)

Associate professor focusing on privacy, security of information systems, behavioural biometric authentication and user modelling. Her research also includes similarity of texts and detection of misinformation. She was 8 years a vice-dean of the faculty responsible for study at FIIT STU.

Peter Lacko

Associate professor focusing on artificial intelligence. His research interests focus on the reinforcement learning, neural networks, board games and parallel and distributed computing. He was a head of the Institute of Informatics, Information Systems and Software Engineering at FIIT STU. He is a member of IEEE and ACM.

Peter Pištek

Assistant professor focusing on information security. He authored a novel course aimed on computer forensics analysis. He is a former vice-dean for bachelor study and faculty propagation at FIIT STU. Besides information security he is interested in learning analytics and education data science in research.

Jakub Ševcech

Post-doc researcher focusing on data analysis and machine learning. Specifically on interpretable machine learning models and anomaly detection.

Juraj Podroužek

Philosopher and IT manager focusing on ICT ethics, especially on the ethics of AI and Value sensitive design. He is concerned with the application of ethical values and principles into the development and deployment of digital technologies. Founder of E-tika association and candidate for AI ethics and regulations committee.

Kamil Burda

Researcher with experience in the domain of behavioral biometrics in the context of user authentication on mobile devices and user recognition based on hand gestures. His current research focus at KInIT includes computer security with the use of artificial intelligence.

Martin Mocko

Researcher focusing on data analysis, machine learning and deep learning and their application in the security domain. His research is currently focused on malware detection using machine learning. Past research includes anomaly detection in the bank domain, time-series forecasting, and high-dimensional data visualization techniques.

Ján Čegiň

Researcher focusing on software testing with emphasis on safety critical systems. His research is oriented on the usability of machine learning methods in the field of software testing, specifically test data generation for unit testing.

Funding partners

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