Detail projektu

Využití umělé inteligence pro zajištění kybernetické bezpečnosti Smart City

Období řešení: 01.01.2022 — 31.12.2025

Zdroje financování

Ministerstvo vnitra ČR - Strategická podpora rozvoje bezpečnostního výzkumu ČR 2019–2025 (IMPAKT 1) PODPROGRAMU 1 SPOLEČNÉ VÝZKUMNÉ PROJEKTY (BV IMP1/2VS)

- plně financující (2022-01-01 - nezadáno)

O projektu

Popis anglicky
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

Klíčová slova anglicky
cyber security, artificial intelligence, Smart City

Označení

VJ02010016

Originální jazyk

čeština

Řešitelé

Mlýnek Petr, doc. Ing., Ph.D. - hlavní řešitel
Fujdiak Radek, doc. Ing., Ph.D. - spoluřešitel
Hajný Jan, prof. Ing., Ph.D. - spoluřešitel
Mišurec Jiří, prof. Ing., CSc. - spoluřešitel

Útvary

Ústav telekomunikací
- příjemce (15.04.2021 - nezadáno)

Výsledky

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

MAHÚT, M.; JURÁŇ, R.; MLÝNEK, P.; MUSIL, P. Improving GPS Reliability in Emergency Vehicles: A Case Study on Interference Source Identification. In 2024 New Trends in Signal Processing (NTSP). Demanovská dolina, Slovakia: IEEE, 2024. p. 1-5. ISBN: 978-80-8040-636-3.
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

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.; LIESKOVAN, T.; MLÝNEK, P. Smart Metering Cybersecurity—Requirements, Methodology, and Testing. SENSORS, 2023, vol. 23, no. 8, p. 1-21. ISSN: 1424-8220.
Detail

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