Michal Kedziora is Assistant Professor at Wroclaw University of Science and Technology – Faculty of Computer Science and Management, Department of Software Engineering, Security and Reliability of Information Systems Lab. His research interests include Computer Security, Cryptography, Digital forensics, Blockchain and Artificial Intelligence Algoritms.
Experienced IT Security Professional and Digital Forensics Investigator. Many years working in public and private sector, including being Law Enforcement Officer and Digital Forensic Court Expert. His IT Security knowledge and skills are backed up by the following certifications:
CISSP, Certified Ethical Hacker, CompTIA Security+, EnCE.
Postdoc in Cybersecurity, 2017
University of Wollongong, Australia
PhD in Computer Science, 2014
Wroclaw University of Science and Technology
MSc Eng in Computer Security, 2006
Wroclaw University of Technology
Teaching materials and detailed information about courses are placed on ePortal-the WUST e-learning platform
I am looking forward to supervising student MSc and BSc thesis. As a first step please sent me mail with thesis proposal.
- [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
Part of Software Engineering Laboratory
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.
Michal Kedziora, PhD
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.