Markov game based on reinforcement learning solution against cyber–physical attacks in smart grid-Reference-Cited by-同舟云学术

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

Published:2024-12 Issue: Volume:255 Page:124607
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Bitirgen Kübra^ORCID,Filik Ümmühan Başaran^ORCID

Publisher

Elsevier BV

Reference62 articles.

1. Resilient synchronization of voltage/frequency in AC microgrids under deception attacks;Afshari;IEEE Systems Journal,2020

2. Deep reinforcement learning: A brief survey;Arulkumaran;IEEE Signal Processing Magazine,2017

3. Detecting stealthy false data injection attacks in the smart grid using ensemble-based machine learning;Ashrafuzzaman;Computers & Security,2020

4. Drone deep reinforcement learning: A review;Azar;Electronics,2021

5. A hybrid deep learning model for discrimination of physical disturbance and cyber-attack detection in smart grid;Bitirgen;International Journal of Critical Infrastructure Protection,2023

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