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...

詳細記述

書誌詳細

主要な著者:	Abrar Mahi-al-rashid, Fahmid Hossain, Adnan Anwar, Sami Azam
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-07-01
シリーズ:	Energies
主題:	smart grid deep learning auto-encoder false data injection cyber security anomaly detection
オンライン･アクセス:	https://www.mdpi.com/1996-1073/15/13/4877
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