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Survey of machine learning methods for detecting false data injection attacks in power systems
2020
IET Smart Grid
Over the last decade, the number of cyber attacks targeting power systems and causing physical and economic damages has increased rapidly. Among them, false data injection attacks (FDIAs) are a class of cyber-attacks against power grid monitoring systems. Adversaries can successfully perform FDIAs to manipulate the power system state estimation (SE) by compromising sensors or modifying system data. SE is an essential process performed by the energy management system towards estimating unknown
doi:10.1049/iet-stg.2020.0015
fatcat:kzfjgzhmybgntijdpszkhk4p7i