Project Details

Bezpečnostní monitorování řídící komunikace ICS v energetických sítích

Project Period: 1. 11. 2019 – 31. 10. 2022

Project Type: grant

Code: VI20192022138

Agency: Ministerstvo vnitra ČR

Program: Program bezpečnostního výzkumu ČR v letech 2015-2022 (BV III/1-VS)

English title
Security monitoring of ICS communication in the smart grid
Type
grant
Keywords

Smart Grid; Industrial Control Systems, Network Monitoring, Threat Detection, Network Security, Traffic Profiling

Abstract

We will create a new tool for operational network monitoring and cyber-protection of smart power distribution systems. The project will result in: i) providing visibility of information in ICS networks for operational monitoring purposes; ii) designing new ICS security detection methods using the latest knowledge in the field of information processing; iii) designing and implementing a monitoring tool for communication security analysis in ICS.

Team members
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS) – research leader
Grégr Matěj, Ing., Ph.D. (DIFS)
Havlena Vojtěch, Ing., Ph.D. (DITS)
Kolář Dušan, doc. Dr. Ing. (DIFS)
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS)
Skokanová Jana, Mgr. (CVT)
Publications

2023

  • HAVLENA, V.; MATOUŠEK, P.; RYŠAVÝ, O.; HOLÍK, L. Accurate Automata-Based Detection of Cyber Threats in Smart Grid Communication. IEEE Transactions on Smart Grid, 2023, vol. 2023, no. 14, p. 2352-2366. ISSN: 1949-3053. Detail

2021

  • BURGETOVÁ, I.; MATOUŠEK, P.; MUTUA, N. Statistical Methods for Anomaly Detection in Industrial Communication. IT-TR-2021-01, Brno: Faculty of Information Technology BUT, 2021. p. 0-0. Detail
  • BURGETOVÁ, I.; MATOUŠEK, P.; RYŠAVÝ, O. Anomaly Detection of ICS Communication Using Statistical Models. In Proceedings of the 17th International Conference on Network Service Management (CNSM 2021). Izmir: Institute of Electrical and Electronics Engineers, 2021. p. 166-172. ISBN: 978-3-903176-36-2. Detail
  • MATOUŠEK, P.; HAVLENA, V.; HOLÍK, L. Efficient Modelling of ICS Communication For Anomaly Detection Using Probabilistic Automata. In Proceedings of IFIP/IEEE International Symposium on Integrated Network Management. Bordeaux: International Federation for Information Processing, 2021. p. 81-89. ISBN: 978-3-903176-32-4. Detail
  • MUTUA, N.; MATOUŠEK, P. Outlier Detection in Smart Grid Communication. Fast Abstracts and Student Forum Proceedings, 17th European Dependable Computing Conference. Munich: 2021. p. 1-4. Detail
  • RYŠAVÝ, O.; MATOUŠEK, P. A Network Traffic Processing Library for ICS Anomaly Detection. In ECBS '21: Proceedings of the 7th Conference on the Engineering of Computer Based Systems. Novi Sad: Association for Computing Machinery, 2021. p. 144-151. ISBN: 978-1-4503-9057-6. Detail

2020

  • HAVLENA, V.; HOLÍK, L.; MATOUŠEK, P. Learning Probabilistic Automata in the Context of IEC 104. IT-TR-2020-01, Brno: Faculty of Information Technology BUT, 2020. p. 0-0. Detail
  • MATOUŠEK, P.; RYŠAVÝ, O.; HAVLENA, V.; GRÉGR, M. Flow based monitoring of ICS communication in the smart grid. Journal of Information Security and Applications, 2020, vol. 2020, no. 54, p. 102535-102535. ISSN: 2214-2126. Detail
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