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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Bibliographic Details

Published in:	Energies
Main Authors:	Abrar Mahi-al-rashid, Fahmid Hossain, Adnan Anwar, Sami Azam
Format:	Article
Language:	English
Published:	MDPI AG 2022-07-01
Subjects:	smart grid deep learning auto-encoder false data injection cyber security anomaly detection
Online Access:	https://www.mdpi.com/1996-1073/15/13/4877