Summer 2021-2022

Cybersecurity

• CBES00205L Computer Forensics - Laboratory
• CBES00205W Computer Forensics - Lecture

Postgraduate Studies

• Computer Network Security - Lecture
• Security of Mobile Applications - Lecture and Laboratory

Teaching materials and detailed information about courses are placed on ePortal-the WUST e-learning platform and on MS Teams University Platform.

I am looking forward to supervising student MSc and BSc thesis. As a first step please sent me mail with thesis proposal.

1. Introduce yourself: Tell me in two or three sentences who you are. State your degree level and when you are planning to defend your thesis.
2. Explain why you are interested in this research topic and what is your experience.
3. Describe idea of your proposed work, especially research chapters. If possible, please refer to latest scientific articles.

Current Students Supervision:

- [2021 - … ] Marcin Komorek, Performance analysis of CPU and GPU ray tracing with the use of parallel computing
- [2021 - … ] Karol Chwastyniak, Using machine learning for improving web pages visibility
- [2021 - … ] Aleksandra Madej, Analysing the accessibility of websites with the usage of Artificial Intelligence
- [2021 - … ] Patryk Potoczak, Comparative analysis of monolithic and microservice architecture in application design
- [2021 - … ] Sebastian Fojcik, Analysis of a cryptocurrency mining detection models based on machine learning
- [2021 - … ] Jozef Piechaczek, Analysis of machine learning methods for fake news detection
- [2021 - … ] Dominika Kedzierska, Comparative analysis of selected web application vulnerability scanners
- [2021 - … ] Hubert Macikowski, Malware Detection using Machine Learning in Forensics Data Analytics
- [2021 - … ] Milosz Jarzab, Detection and analysis of ransomeware by using machine learning algorithms
- [2021 - … ] Wera Wiecek, Steganography detection using AI
- [2021 - … ] Joanna Zinczyn, A monitoring system that detects anomalies in system events in real time.

Past Student Supervision (MSc and BSc):

- [2021 - 2022] Szymon Skarzynski, Application implementing virtual reality (VR) and the use of brain computer interface (BCI)
- [2021 - 2022] Maciej Rys, Using the Brain-Computer Interface (BCI) in a virtual-reality(VR) environment to acquire and analyze the EEG signal 
- [2021 - 2022] Kuba Kurczak, Using Brain-Computer Interface (BCI) and Artificial Intelligence for EEG signal analysis.
- [2021 - 2022] Agata Kwarciany, Comparative analysis of classifiers for brain waves processing with use of artificial intelligence
- [2021 - 2022] Radosław Karbowiak, Indor Navigation System Using NFC Technology and Blockchain
- [2021 - 2022] Sebastian Pięta, 3D model reconstruction based on 2D X-ray image using artificial intelligence.
- [2021 - 2022] Marcin Nahajowski, Improvement of the process of diagnosing the patient’s condition using Blockchain database integrated with NFC
- [2021 - 2022] Kaja Limisiewicz, Implementation of a tool with use of artificial intelligence to analyse chest X-rays for damage assessment
- [2020 - 2021] Aleksandra Gerasimuk, Detecting SQL Injection Attacks Using Machine Learning Algorithms
- [2020 - 2021] Mateusz Godyn, Analysis of solutions for a permissioned blockchain mutability
- [2020 - 2021] Marcin Horak, Analysis of Smart Contracts in Blockchain Networks
- [2020 - 2021] Kovalsky Yaroslaw, Blockchain in electronic voting systems
- [2020 - 2021] Ewa Lyko, Security Threats for Vision Based Algorithms in Artificaial Intelligence
- [2020 - 2021] Maciej Nowicki, Money laundering detection in blockchain networks using machine learning
- [2020 - 2021] Agata Rychter, Software code quality analysis using machine learning alghorithms
- [2020 - 2021] Wojciech Sabatowski, Android malware detection using machine learning techniques
- [2020 - 2021] Joanna Wojdylo, Analysis of conncections and transactions in blockchain networks using artificial intelligence methods
- [2020 - 2021] Natalia Sochacka, Software tool for supporting Computer Security and Digital Forensic
- [2020 - 2021] Michal Smolnicki, Tool to identify mechanical parameters of materials using neural network based on Finite Element Method Analysis
- [2020 - 2021] Piotr Pospiech, Software tool for simulation of blockchain and cryptocurrencies
- [2020 - 2021] Mateusz Czyz, Implementation of artificial intelligence methods in music generation
- [2020 - 2021] Martyna Gruda, Application to Monitor Potential Covid-19 Carriers Based on Artificial Intelligence Algorithms.
- [2019 - 2020] Michal Praszmo, Automatic configuration extraction and reading of encrypted data from malware
- [2019 - 2020] Tobiasz Wrobel, A tool supporting the performance of penetration tests of mobile applications
- [2019 - 2020] Hanna Grodzicka, Solutions for scalability and security for privatepermissionless blockchain
- [2019 - 2020] Zofia Lakomiak, Analysis of GDPR compliant solutions for a permissioned blockchain
- [2019 - 2020] Michal Radziwilko, Efficiency analysis of Hyperledger and Quorum Blockchain technology based networks
- [2019 - 2020] Rafal Chalupnik, Examination of emotion recognition based on a classifier using data from the EEG interface
- [2019 - 2020] Katarzyna Bialas, Study of the possibilities of controlling a mobile application using the brain-computer interface NeuroSky MindWave
- [2019 - 2020] Maria Filemonowicz, Study of the impact of static typing on the quality of produced software
- [2019 - 2020] Anna Horak, Analysis of artificial intelligence methods in chatbot systems
- [2019 - 2020] Dawid Szewczyk, Analysis of methods of detecting attack on systems based on blockchain technology
- [2019 - 2020] Dominika Olechno, Analysis of Performance and scalability in private blockchain
- [2019 - 2020] Natalia Trojanowska, Ethereum decentralized application
- [2018 - 2019] Arnold Woznica, Simulations and analysis of algorithms used in blockchain technology
- [2018 - 2019] Dawid Pieprzka, Analysis of blockchain algorithms
- [2018 - 2019] Mariusz Bancer, Blockchain technology analysis including implemented algorithms
- [2018 - 2019] Alan Bartczak, Analysis of performance, security and scalability of the Proof of Work consensus algorithm in a Blockchain network
- [2018 - 2019] Augustyn Binkowski, Analysis of performance and security of algorithms related to blockchain technology
- [2018 - 2019] Lukasz Marszalek, Simulations and analysis of algorithms used in blockchain technology
- [2018 - 2019] Marek Mularczyk, Comparative analysis of software tests on the example of the Magento 2 platform
- [2018 - 2019] Wojciech Wojtysiak, Analysis of security of bitcoin and other cryptocurencys
- [2018 - 2019] Yahor Yeliseyenka, Aplication for people using medicine
- [2018 - 2019] Anna Pijanowska, Computer game for Kids in Android with use of Unity engine
- [2018 - 2019] Yaroslav Kovalskyi, Implementation of a secure cryptocurrency repository
- [2018 - 2019] Aleksander Gorka, Implementation of the tool for the Unity engine detecting unauthorized user interference
- [2018 - 2019] Rafal Chalupnik, Application for data encryption with use of QR codes
- [2017 - 2018] Lukasz Obraniak, Testing the signal strength indicator of the received RSSI signal in the selected short-range wireless communication standard.
- [2017 - 2018] Filip Czabator, Analysis of blockchain applications
- [2017 - 2018] Kordian Ojrzynski, Security analysis of chosen mobile applications
- [2017 - 2018] Paulina Gawin, Android malware detection with static analysis
- [2017 - 2018] Wiktor Dyngosz, Analysis of the operation and effectiveness of the Proof of Work and Proof of Stake consensus protocols in the blockchain network
- [2017 - 2018] Lukasz Nowakowski, Implementation of identity and access management server
- [2017 - 2018] Michal Krzemieniewski, Blockchain algorithms simulation tool
- [2017 - 2018] Karolina Kalwak, Exploratory tests - approach analysis and conclusions
- [2017 - 2018] Filip Wiechec, Analysis of security threats in information systems
- [2016 - 2017] Michal Synos, Countering threats to the security systems using steganographic and cryptographic methods
- [2016 - 2017] Mayanksingh Deveshchandra Gangwa, Analysis of Technical Approaches to Mitigate Social Engineering Computer Security Threats
- [2016 - 2017] Krzysztof Poltorak, Analysis of data protection in mobile devices
- [2015 - 2016] Piotr Szych, Digital forensic analysis of computer system using anonymity network TOR.
- [2015 - 2016] Damian Rajca, Analysis of security and data protection aspects in mobile devices
- [2015 - 2016] Michal Kornas, Current security threats and protection methods of Internet users

Brief description:

Cybersecurity mini-Lab is part of Department of Software Engineering Laboratory (K7) at Department of Computer Science and Management, Wroclaw University of Science and Technology. It was establish to expedite Department research in area of Computer Securuity.

Head:

Michal Kedziora, PhD

Main research areas:

• Malware detection and analysis using ML / AI algorithms.
• Security of public and private blockchain platforms.

Description of the research

Cybersec Lab is focus on the area of ​​Security of Public and Private Blockchain Platforms, including analysis of selected mechanisms for obtaining consensus in distributed blockchain networks: proof of work, proof of stake, proof of burn, proof of space. We analyze also the security of blockchain technology applications (including the problem of transaction tracking in the network Monero, which was created in response to Bitcoin restrictions). Research also covers the security issue and performance for the Hyperledger Iroha, Sawtooth PoET and Hyperledger Fabric platforms. For the area of ​​Malware detection and analysis using ML / AI algorithms. We analyze the effectiveness of malware detection using static analysis techniques and application code using the AI/ML algorithms.