mlsanityData to 13 Oct 2026

Learning to Attack Powergrids with DERs

arXiv 2204.11352 ↗First posted 24 Apr 2022cs.CR cs.AIcited by 0

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Abstract (arXiv)

In the past years, power grids have become a valuable target for cyber-attacks. Especially the attacks on the Ukrainian power grid has sparked numerous research into possible attack vectors, their extent, and possible mitigations. However, many fail to consider realistic scenarios in which time series are incorporated into simulations to reflect the transient behaviour of independent generators and consumers. Moreover, very few consider the limited sensory input of a potential attacker. In this paper, we describe a reactive power attack based on a well-understood scenario. We show that independent agents can learn to use the dynamics of the power grid against it and that the attack works even in the face of other generator and consumer nodes acting independently.

Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 12 of its 26 references that are in the map. First posted on arXiv 24 Apr 2022.

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12 of 26 references.

References · 12

  1. 2018Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actorcited by 4,656
  2. 2015Continuous control with deep reinforcement learningcited by 3,290
  3. 2013Playing Atari with Deep Reinforcement Learningcited by 3,221
  4. 2016Asynchronous Methods for Deep Reinforcement Learningcited by 2,223
  5. 2019Mastering Atari, Go, Chess and Shogi by Planning with a Learned Modelcited by 1,334
  6. 2017Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithmcited by 728
  7. 2019Emergent Tool Use From Multi-Agent Autocurriculacited by 310
  8. 2019Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attackscited by 18
  9. 2015Fast Local Voltage Control under Limited Reactive Power: Optimality and Stability Analysiscited by 5
  10. 2018Adversarial Resilience Learning - Towards Systemic Vulnerability Analysis for Large and Complex Systemscited by 3
  11. 2020Analyzing Power Grid, ICT, and Market Without Domain Knowledge Using Distributed Artificial Intelligencecited by 2
  12. 2019Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligencecited by 1

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