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Digital Twin for Evaluating Detective Countermeasures in Smart Grid Cybersecurity

Omer Sen, Nathalie Bleser, Andreas Ulbig

TL;DR

The paper addresses cybersecurity challenges in ICT-enabled smart grids by proposing a modular digital twin built on a co-simulation framework that couples power-grid simulation with IT/OT network emulation for hardware-in-the-loop testing. It details a co-simulation basis using pandapower, container-based network emulation, and Mosaik for time-synchronized data exchange, and demonstrates attack replication across the DT and a physical lab to evaluate intrusion detection systems. The study compares three IDS approaches (signature-based Snort, specification-based, and statistical anomaly-based) across multiple attack scenarios, finding that the specification-based IDS performs consistently in both environments while other approaches show mixed results, and that the DT can generate realistic attack data for training ML-based IDS. The findings support the DT as a practical, safe, and flexible platform for developing, testing, and validating detective cybersecurity countermeasures in smart grids, with potential for broader deployment and cross-validation with CPS laboratories.

Abstract

As the integration of digital technologies and communication systems continues within distribution grids, new avenues emerge to tackle energy transition challenges. Nevertheless, this deeper technological immersion amplifies the necessity for resilience against threats, encompassing both systemic outages and targeted cyberattacks. To ensure the robustness and safeguarding of vital infrastructure, a thorough examination of potential smart grid vulnerabilities and subsequent countermeasure development is essential. This study delves into the potential of digital twins, replicating a smart grid's cyber-physical laboratory environment, thereby enabling focused cybersecurity assessments. Merging the nuances of communication network emulation and power network simulation, we introduce a flexible, comprehensive digital twin model equipped for hardware-in-the-loop evaluations. Through this innovative framework, we not only verify and refine security countermeasures but also underscore their role in maintaining grid stability and trustworthiness.

Digital Twin for Evaluating Detective Countermeasures in Smart Grid Cybersecurity

TL;DR

The paper addresses cybersecurity challenges in ICT-enabled smart grids by proposing a modular digital twin built on a co-simulation framework that couples power-grid simulation with IT/OT network emulation for hardware-in-the-loop testing. It details a co-simulation basis using pandapower, container-based network emulation, and Mosaik for time-synchronized data exchange, and demonstrates attack replication across the DT and a physical lab to evaluate intrusion detection systems. The study compares three IDS approaches (signature-based Snort, specification-based, and statistical anomaly-based) across multiple attack scenarios, finding that the specification-based IDS performs consistently in both environments while other approaches show mixed results, and that the DT can generate realistic attack data for training ML-based IDS. The findings support the DT as a practical, safe, and flexible platform for developing, testing, and validating detective cybersecurity countermeasures in smart grids, with potential for broader deployment and cross-validation with CPS laboratories.

Abstract

As the integration of digital technologies and communication systems continues within distribution grids, new avenues emerge to tackle energy transition challenges. Nevertheless, this deeper technological immersion amplifies the necessity for resilience against threats, encompassing both systemic outages and targeted cyberattacks. To ensure the robustness and safeguarding of vital infrastructure, a thorough examination of potential smart grid vulnerabilities and subsequent countermeasure development is essential. This study delves into the potential of digital twins, replicating a smart grid's cyber-physical laboratory environment, thereby enabling focused cybersecurity assessments. Merging the nuances of communication network emulation and power network simulation, we introduce a flexible, comprehensive digital twin model equipped for hardware-in-the-loop evaluations. Through this innovative framework, we not only verify and refine security countermeasures but also underscore their role in maintaining grid stability and trustworthiness.

Paper Structure

This paper contains 15 sections, 8 figures.

Table of Contents

  1. Introduction
  2. Analysis
  3. Requirement Analysis
  4. Related Work
  5. Problem Analysis
  6. Digital Twin for Smart Grids
  7. Co-Simulation as Basis
  8. Digital Twin Application
  9. Cybersecurity Considerations
  10. Attack Implementation
  11. Investigation
  12. Scenarios
  13. Intrusion Detection Results
  14. Discussion
  15. Conclusion

Figures (8)

  • Figure 1: Overview of the utilized co-simulation environment and its major components. Depending on the use case, the respective components can be modeled in different degrees of abstraction.
  • Figure 2: Illustration of the 2-hop attack pattern in the DT application.
  • Figure 3: Behavior when not under attack
  • Figure 4: Results of targeting true power manipulation
  • Figure 5: Results of targeting RTU shutdown
  • ...and 3 more figures