Publications

  1. Towards cyber-physical security for the electric power system.
    E. Karangelos and L. Wehenkel, Pylons e-Magazine, CIGRE Greece NC, No 2 , pp 36-47, 2022.
  2. Cyber-physical risk modeling with imperfect cyber-attackers.
    E. Karangelos and L. Wehenkel, EPSR, Vol 211, 108437, 2022.
  3. Impact of the reliability of ICT systems on power systems with system integrity protection schemes.
    F. Sabot, P. Henneaux, P.-E. Labeau, J.-M. Dricot. Proc. of Lambda-Mu, Paris, 2022.
  4. A voting-based machine learning strategy to detect false data injection attack in cyber-physical power systems.
    A. Jafari, H. Ergun and D. V. Hertem, 57th International Universities Power Engineering Conference (UPEC), 2022, pp. 1-6, 2022.
  5. A new deep learning-based strategy for launching timely DOS attacks in pmu-based cyber-physical power systems.
    T. Behdadnia, G. Deconinck, ISGT Europe 2022.
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Cypress Project

Smarter electric power systems

Cyber-Physical Risk
of the bulk Electric
Energy Supply System

[arrow-down] Cypress project

The project

Cyber-Physical Risk of the bulk Electric Energy Supply System
The energy transition leads towards smarter electric power systems taking the form of cyber-physical systems in which the electrical power grids are strongly interlinked with a growing number of information and communication systems.

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project coordination

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About Cypress

Smarter electric power systems

About the project

Cypress

Cyber-Physical Risk of the bulk Electric Energy Supply System
The energy transition leads towards smarter electric power systems taking the form of cyber-physical systems in which the electrical power grids are strongly interlinked with a growing number of information and communication systems.

The project started 1 November 2020 and will last 5 years.

The CYPRESS project aims at developing novel knowledge, methods and tools needed to help ensuring the security of supply through the transmission grid, while accounting for the specific nature of cyber-threats and integrating them into a coherent probabilistic risk management approach.
Cypress project

Our partners

Logo Haulogy Logo KU Leuven Logo ULB Logo Liège Université
project coordination

More about our partners

Contact us

Interested in our project? Contact us and learn more about Cypress

Contact

Read more: About Cypress

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