Markov game based on reinforcement learning solution against cyber–physical attacks in smart grid

This publication has 50 references indexed in Scilit:

• A hybrid deep learning model for discrimination of physical disturbance and cyber-attack detection in smart grid
  International Journal of Critical Infrastructure Protection, 2022
• A comprehensive review of cyber-attacks and defense mechanisms for improving security in smart grid energy systems: Past, present and future
  Electric Power Systems Research, 2022
• A machine learning approach for active/reactive power control of grid-connected doubly-fed induction generators
  Ain Shams Engineering Journal, 2022
• Cyber-attacks against cyber-physical power systems security: State estimation, attacks reconstruction and defense strategy
  Applied Mathematics and Computation, 2022
• Machine learning based false data injection in smart grid
  International Journal of Electrical Power & Energy Systems, 2021
• Intrusion detection based on hybrid classifiers for smart grid
  Computers and Electrical Engineering, 2021
• Detection of false data cyber-attacks for the assessment of security in smart grid using deep learning
  Computers and Electrical Engineering, 2021
• Detecting stealthy false data injection attacks in the smart grid using ensemble-based machine learning
  Computers & Security, 2020
• Safe deep reinforcement learning-based constrained optimal control scheme for active distribution networks
  Applied Energy, 2020
• Optimal stealthy false data injection attacks in cyber-physical systems
  Information Sciences, 2019