Doctoral Schools WUT

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Wykaz obszarów badawczych związanych z tagiem Cyberbezpieczenstwo:

# Obszar badawczy Dziedzina naukowa
1 cyber security, network security, IoT security, ICS security, malware analysis, HoneyPot systems
2 Signal processing, especially speech processing. Natural language processing, in particular in the cybersecurity context. Voice biometry. Applications of machine learning. Computer technology in therapeutical applications.
3 cyber security, network security, information hiding techniques, analysis of cyber threats and their countermeasures, security mechanisms
4 Research in the application of innovative techniques in the area of cybersecurity of information systems. The aim of the research is to develop mechanisms to increase the level of cybersecurity of computer systems, information networks or hardware implementations of systems (FPGA, ASIC, SoC) by applying innovative concepts such as Moving Target Defense, AI anomaly detection, software/hardware co-design. Examples of research problems are the development of methods and algorithms using SDN and NFV techniques to implement MTD mechanisms, the use of artificial intelligence and machine learning algorithms for anomaly detection, hardware acceleration of monitoring and processing of multigigabit network traffic. Translated with (free version)
5 Research in the field of methods of observing new cyber attacks: anomaly detection and network steganography. The study aims to uncover cybercrimes through digital forensics effectively. The primary research issue is the development of new methods of observing phenomena, in particular in ICT networks, but also, among other things, in medicine, and on the stock market. One of the research problems is the creation of new cybersecurity algorithms in steganography and network steganalysis, as well as anomaly detection and fraud management.

Modeling, control, and simulation of complex systems (ICT, financial engineering, medicine, water resources, etc.), computer decision support systems, recommendation systems, wireless sensor networks, mobile ad hoc networks, optimal resource allocation in data networks and computing centers, parallel and distributed programming, global optimization algorithms, machine learning and Big Data processing, blockchain technologies, cyber security.


I am interested in interdisciplinary topics related to the development and use of modern IT methods. My experience includes computer modelling of biological phenomena, problem-solving in computational intelligence, and IT system security. I am currently researching large language models (LLMs) and their potential for solving real-world problems. Multi-agent architectures are of particular interest.