Project detail

Application of Artificial Intelligence for Ensuring Cyber Security for Smart City

Duration: 01.01.2022 — 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)

- whole funder (2022-01-01 - not assigned)

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

Fujdiak Radek, doc. Ing., Ph.D. - fellow researcher
Hajný Jan, doc. Ing., Ph.D. - fellow researcher
Mišurec Jiří, prof. Ing., CSc. - fellow researcher
Mlýnek Petr, doc. Ing., Ph.D. - principal person responsible

Units

Department of Telecommunications
- (2021-04-15 - not assigned)

Results

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

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

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

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

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.; 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

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

Responsibility: Mlýnek Petr, doc. Ing., Ph.D.