False Data Injection Attack Detection in Smart Grid Using Energy Consumption Forecasting

Supervisory Control and Data Acquisition (SCADA) systems are essential for reliable communication and control of smart grids. However, in the cyber-physical realm, it becomes highly vulnerable to cyber-attacks like False Data Injection (FDI) into the measurement signal which can circumvent the conve...

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Principais autores:	Abrar Mahi-al-rashid, Fahmid Hossain, Adnan Anwar, Sami Azam
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-07-01
coleção:	Energies
Assuntos:	smart grid deep learning auto-encoder false data injection cyber security anomaly detection
Acesso em linha:	https://www.mdpi.com/1996-1073/15/13/4877
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