A deep learning‐based classification scheme for cyber‐attack detection in power system

A deep learning‐based classification scheme for cyber‐attack detection in power system

Abstract A smart grid improves power grid efficiency by using modern information and communication technologies. However, at the same time, the system might become increasingly vulnerable to cyberattacks. Among various emerging security problems, a false data injection attack (FDIA) is a new type of...

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Bibliographic Details
Main Authors: Yucheng Ding, Kang Ma, Tianjiao Pu, Xingying Wang, Ran Li, Dongxia Zhang
Format: Article
Language:English
Published: Wiley 2021-09-01
Series:IET Energy Systems Integration
Subjects:
conditional deep belief network
cyber security
deep learning
false data injection attacks detection
feature extraction
smart grids
Online Access:https://doi.org/10.1049/esi2.12034

Internet

https://doi.org/10.1049/esi2.12034

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