Insights and Lessons Learned from a Realistic Smart Grid Testbed for Cybersecurity Research

Reviewed Paper In Proceedings

Author(s):Ghada Elbez, Gustavo Sánchez, Sine Canbolat, Sophie Corallo, Clemens Fruböse, Florian Lanzinger, Nicolai Kellerer, Gustav Keppler, Felix Neumeister, Bernhard Beckert, Anne Koziolek, Martina Zitterbart, and Veit Hagenmeyer
In:Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems
Publisher:Association for Computing Machinery
Series:E-Energy '25
Year:2025
Pages:805-812
PDF:
URL:https://doi.org/10.1145/3679240.3734649
DOI:10.1145/3679240.3734649

Abstract

The increasing reliance of power grids on information and communication technologies has exposed them to sophisticated cyber threats. This paper introduces a dedicated cybersecurity testbed for energy systems, emphasizing key insights and lessons learned from our practical evaluations. By integrating a tailored threat model with focused experimental scenarios, we investigate specific attack vectors and assess the resilience of energy infrastructures under realistic conditions. Our work streamlines interdisciplinary approaches—drawing on software-defined networking, intrusion detection, and risk assessment—to deliver clear, actionable strategies for enhancing grid security testing. The results underscore novel, empirically validated methods that balance theoretical rigor with practical applicability, advancing the protection of critical energy systems.

BibTeX

@inproceedings{sige2025,
  author       = {Elbez, Ghada and
                  S\'{a}nchez, Gustavo and
                  Canbolat, Sine and
                  Corallo, Sophie and
                  Frub\"{o}se, Clemens and
                  Lanzinger, Florian and
                  Kellerer, Nicolai and
                  Keppler, Gustav and
                  Neumeister, Felix and
                  Beckert, Bernhard and
                  Koziolek, Anne and
                  Zitterbart, Martina and
                  Hagenmeyer, Veit},
  title        = {Insights and Lessons Learned from a Realistic Smart
                  Grid Testbed for Cybersecurity Research},
  year         = {2025},
  isbn         = {9798400711251},
  publisher    = {Association for Computing Machinery},
  address      = {New York, NY, USA},
  url          = {https://doi.org/10.1145/3679240.3734649},
  doi          = {10.1145/3679240.3734649},
  abstract     = {The increasing reliance of power grids on information
                  and communication technologies has exposed them to
                  sophisticated cyber threats. This paper introduces a
                  dedicated cybersecurity testbed for energy systems,
                  emphasizing key insights and lessons learned from our
                  practical evaluations. By integrating a tailored
                  threat model with focused experimental scenarios, we
                  investigate specific attack vectors and assess the
                  resilience of energy infrastructures under realistic
                  conditions. Our work streamlines interdisciplinary
                  approaches—drawing on software-defined networking,
                  intrusion detection, and risk assessment—to deliver
                  clear, actionable strategies for enhancing grid
                  security testing. The results underscore novel,
                  empirically validated methods that balance
                  theoretical rigor with practical applicability,
                  advancing the protection of critical energy systems.},
  booktitle    = {Proceedings of the 16th ACM International Conference
                  on Future and Sustainable Energy Systems},
  pages        = {805–-812},
  numpages     = {8},
  series       = {E-Energy '25},
  pdf          = {PDF:/lanzinger/pdf/sige2025.pdf}
}