Improving Detection of False Data Injection Attacks Using Machine Learning with Feature Selection and Oversampling

Improving Detection of False Data Injection Attacks Using Machine Learning with Feature Selection and Oversampling

Critical infrastructures have recently been integrated with digital controls to support intelligent decision making. Although this integration provides various benefits and improvements, it also exposes the system to new cyberattacks. In particular, the injection of false data and commands into comm...

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Bibliographic Details
Main Authors: Ajit Kumar, Neetesh Saxena, Souhwan Jung, Bong Jun Choi
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Energies
Subjects:
Data Injection Attack
machine learning
critical infrastructure
smart grid
water treatment plant
power system
Online Access:https://www.mdpi.com/1996-1073/15/1/212

Internet

https://www.mdpi.com/1996-1073/15/1/212

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