Cyberattack Correlation and Mitigation for Distribution Systems via Machine Learning

Cyberattack Correlation and Mitigation for Distribution Systems via Machine Learning

Cyber-physical system security for electric distribution systems is critical. In direct switching attacks, often coordinated, attackers seek to toggle remote-controlled switches in the distribution network. Due to the typically radial operation, certain configurations may lead to outages and/or volt...

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Bibliographic Details
Main Authors:	Jennifer Appiah-Kubi, Chen-Ching Liu
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Open Access Journal of Power and Energy
Subjects:	Intrusion detection cyber security anomaly detection q-learning reinforcement learning multi-agent systems
Online Access:	https://ieeexplore.ieee.org/document/10015858/

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