Detection of False Data Injection Attacks in Smart Grids Based on Expectation Maximization

Detection of False Data Injection Attacks in Smart Grids Based on Expectation Maximization

The secure operation of smart grids is closely linked to state estimates that accurately reflect the physical characteristics of the grid. However, well-designed false data injection attacks (FDIAs) can manipulate the process of state estimation by injecting malicious data into the measurement data...

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Bibliographic Details
Main Authors:	Pengfei Hu, Wengen Gao, Yunfei Li, Minghui Wu, Feng Hua, Lina Qiao
Format:	Article
Language:	English
Published:	MDPI AG 2023-02-01
Series:	Sensors
Subjects:	false data injection attacks statistical learning methods attack detection attack location smart grid
Online Access:	https://www.mdpi.com/1424-8220/23/3/1683

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