mlsanityData to 7 Oct 2026

Online Cyber-Attack Detection in Smart Grid: A Reinforcement Learning Approach

arXiv 1809.05258 ↗First posted 14 Sep 2018cs.LG cs.CR stat.MLcited by 14

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Abstract (arXiv)

Early detection of cyber-attacks is crucial for a safe and reliable operation of the smart grid. In the literature, outlier detection schemes making sample-by-sample decisions and online detection schemes requiring perfect attack models have been proposed. In this paper, we formulate the online attack/anomaly detection problem as a partially observable Markov decision process (POMDP) problem and propose a universal robust online detection algorithm using the framework of model-free reinforcement learning (RL) for POMDPs. Numerical studies illustrate the effectiveness of the proposed RL-based algorithm in timely and accurate detection of cyber-attacks targeting the smart grid.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Sep 2018.

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Citing papers per year: 2021: 4; 2022: 3; 2023: 4; 2024: 1; 2025: 2.

14 papers.

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  1. 2021Reinforcement Learning for IoT Security: A Comprehensive Surveycited by 21
  2. 2021Reinforcement Learning for Feedback-Enabled Cyber Resiliencecited by 18
  3. 2021Intrusion Prevention through Optimal Stoppingcited by 18
  4. 2023Learning Near-Optimal Intrusion Responses Against Dynamic Attackerscited by 13
  5. 2021Learning Intrusion Prevention Policies through Optimal Stoppingcited by 11
  6. 2022Machine Learning for Intrusion Detection in Industrial Control Systems: Applications, Challenges, and Recommendationscited by 8
  7. 2022Learning Security Strategies through Game Play and Optimal Stoppingcited by 5
  8. 2025Online Incident Response Planning under Model Misspecification through Bayesian Learning and Belief Quantizationcited by 5
  9. 2024A Comprehensive Survey on the Security of Smart Grid: Challenges, Mitigations, and Future Research Opportunitiescited by 4
  10. 2025Learning Optimal Defender Strategies for CAGE-2 using a POMDP Modelcited by 3
  11. 2022Principled Data-Driven Decision Support for Cyber-Forensic Investigationscited by 1
  12. 2023Trustworthy Artificial Intelligence Framework for Proactive Detection and Risk Explanation of Cyber Attacks in Smart Gridcited by 1
2 more
  1. 2023Optimization Algorithms in Smart Grids: A Systematic Literature Reviewcited by 0
  2. 2023Deep Reinforcement Learning for Online Error Detection in Cyber-Physical Systemscited by 0