Navrhovaný projekt řeší problematiku bezpečné infrastruktury pro chytrá měření, cílem projektu je dosáhnout propojeného systému - krypto portálu chytrého měření, řešící komplexně otázku kybernetické bezpečnosti v této oblasti.

Popis anglicky
The project aims to research, development and implementation of software tools for the management and monitoring of cryptographically secure smart meters and communication with such meters. Nowadays the legislation in the field of energy metering (electricity, heat, water, gas, and other services) is fundamentally changing the security requirements of meters. The results of the project will provide a commercial solution that can be easily described as an electronic keychain and communicator for smart meters. The smart meter (utility meters, calorimeter, etc.) will soon become a widely used but highly secure device, from which, as a last resort, no data can be obtained at all without knowing the identity and security of the meter and without proving the applicant's identity.

Klíčová slova
KMI; KMS; Kryptografie; Chytré měření; Energetika; Infrastruktura

Klíčová slova anglicky
Smart Metering, Cryptography, Cybersecurity, KMS, KPI, Privacy, Infrastructure, Utility metering

FW06010490

čeština

Fujdiak Radek, doc. Ing., Ph.D. - hlavní řešitel
Mlýnek Petr, doc. Ing., Ph.D. - spoluřešitel

Ústav telekomunikací
- odpovědné pracoviště (15.6.2022 - nezadáno)
Ústav telekomunikací
- příjemce (15.6.2022 - nezadáno)

POSPÍŠIL, O.; FUJDIAK, R. Identification of industrial devices based on payload. In ARES '24: Proceedings of the 19th International Conference on Availability, Reliability and Security. New York, NY, USA: Association for Computing Machinery, 2024. p. 1-9. ISBN: 979-8-4007-1718-5.
Detail

RYBÁRIK, P.; DOSTÁLEK, L.; MIKALA, M.; FUJDIAK, R.; MLÝNEK, P.: FW06010490-V1; Formát e-identity chytrého měřidla (smIdentita). online. URL: https://smetrid.cz/download/SMetrID_V1_ElektronickyDodac%C3%ADList_v16.pdf. (ověřená technologie)
Detail

BOHAČÍK, A.; HOLASOVÁ, E.; FUJDIAK, R.; RACKA, J. Convolutional Neural Network-Based Classification of Secured IEC 104 Traffic in Energy Systems. In Proceedings of the 2023 13th International Conference on Communication and Network Security. 1. New York, NY, USA: ACM, 2023. p. 159-165. ISBN: 979-8-4007-0796-4.
Detail

Odpovědnost: Fujdiak Radek, doc. Ing., Ph.D.