Title | ||
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Machine Learning Based Multi-Agent System for Detecting and Neutralizing Unseen Cyber-Attacks in AGC and HVDC Systems |
Abstract | ||
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This paper presents a multi-agent based approach to secure the automatic generation control (AGC) loop and the power modulation controller of a high voltage direct current system against cyber-attacks. To achieve this, we propose to embed a multi-agent system (MAS) to the existing AGC layer comprising a Master Agent (MA) and several Slave Agents (SAs). The MA is equipped with a one-class classifie... |
Year | DOI | Venue |
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2022 | 10.1109/JETCAS.2022.3142055 | IEEE Journal on Emerging and Selected Topics in Circuits and Systems |
Keywords | DocType | Volume |
Automatic generation control,HVDC transmission,Training,Data models,Support vector machines,Load modeling,Multi-agent systems | Journal | 12 |
Issue | ISSN | Citations |
1 | 2156-3357 | 2 |
PageRank | References | Authors |
0.39 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
SD Roy | 1 | 2 | 0.39 |
Sanjoy Debbarma | 2 | 2 | 2.42 |
JM Guerrero | 3 | 2 | 0.39 |