Project detail
Application of Artificial Intelligence for Ensuring Cyber Security for Smart City
Duration: 1.1.2022 — 31.12.2025
Funding resources
Ministerstvo vnitra ČR - Strategická podpora rozvoje bezpečnostního výzkumu ČR 2019–2025 (IMPAKT 1) PODPROGRAMU 1 SPOLEČNÉ VÝZKUMNÉ PROJEKTY (BV IMP1/2VS)
On the project
Description in English
The aim of the project is to design and verify the complex security model of artificial intelligence use for ensuring cybersecurity of Smart City on data analysis of primary and supportive data assets used in the scope of Smart City. From the perspective of our project, four main benefits can be mentioned from innovative and unique point of view:
• Smart City represented as a data model
• Smart City cybersecurity using artificial intelligence
• Security Baseline as methodological support of Smart City
• Virtualized infrastructure "Cyber Range" for Smart City concept
Key words in English
cyber security, artificial intelligence, Smart City
Mark
VJ02010016
Default language
Czech
People responsible
Mlýnek Petr, doc. Ing., Ph.D. - principal person responsible
Fujdiak Radek, doc. Ing., Ph.D. - fellow researcher
Hajný Jan, prof. Ing., Ph.D. - fellow researcher
Mišurec Jiří, prof. Ing., CSc. - fellow researcher
Units
Department of Telecommunications
- responsible department (15.4.2021 - not assigned)
Department of Telecommunications
- beneficiary (15.4.2021 - not assigned)
Results
MLÝNEK, P.; MARTINÁSEK, Z.; FUJDIAK, R.; SOBĚSLAV, V.; HORÁLEK, J. Datové přenosy v rámci Smart City infrastruktury. 2024.
Detail
LAZAROV, W.; BOHAČÍK, A.; KOHOUT, D.; FUJDIAK, R. Training Scenario for Security Testing of the Kerberos Protocol. In Advances and Trends in Artificial Intelligence. Theory and Applications. Singapore: Springer, 2024. p. 56-67. ISBN: 978-981-97-4677-4.
Detail
KOHOUT, D.; LAZAROV, W.; LIESKOVAN, T.; MLÝNEK, P. Sandbox Environment for Offensive and Defensive Training in Smart Metering. In Advances and Trends in Artificial Intelligence. Theory and Applications. Singapore: Springer, 2024. p. 43-55. ISBN: 978-981-97-4677-4.
Detail
MUSIL, P.; MLÝNEK, P.; RUSZ, M.; BENEŠL, L.; SLÁČIK, J. General methodology of the in-field diagnostic and localization of noise source in G3-PLC network. In 2023 IEEE International Symposium on Power Line Communications and its Applications (ISPLC). Manchester, United Kingdom: PeerJ Inc., 2023. p. 37-42. ISBN: 978-1-6654-9135-8.
Detail
KOHOUT, D.; LIESKOVAN, T.; MLÝNEK, P. Smart Metering Cybersecurity—Requirements, Methodology, and Testing. SENSORS, 2023, vol. 23, no. 8, p. 1-21. ISSN: 1424-8220.
Detail
KUCHAŘ, K.; HOLASOVÁ, E.; POSPÍŠIL, O.; RUOTSALAINEN, H.; FUJDIAK, R.; WAGNER, A. Hunting Network Anomalies in a Railway Axle Counter System. SENSORS, 2023, vol. 23, no. 6, p. 1-19. ISSN: 1424-8220.
Detail
KOHOUT, D.; MLÝNEK, P. Testing Smart Meters with Custom Application. In 2022 IEEE International Carnahan Conference on Security Technology (ICCST). IEEE International Carnahan Conference on Security Technology. September 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 1-6. ISBN: 978-1-6654-9363-5. ISSN: 2153-0742.
Detail
MAŠEK, P.; YOUNESIAN, E.; BAHNA, M.; MOŽNÝ, R.; MIKULÁŠEK, M.; ŠTŮSEK, M.; OMETOV, A.; HOŠEK, J.; FUJDIAK, R.; MLÝNEK, P. Performance Analysis of Different LoRaWAN Frequency Bands for mMTC Scenarios. In 45nd International Conference on Telecommunications and Signal Processing (TSP 2022). IEEE, 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 417-420. ISBN: 978-1-6654-6948-7.
Detail
Responsibility: Mlýnek Petr, doc. Ing., Ph.D.