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Correction: Almalaq et al. Deep Machine Learning Model-Based Cyber-Attacks Detection in Smart Power Systems. Mathematics 2022, 10 , 2574.

Authors :
Almalaq, Abdulaziz
Albadran, Saleh
Mohamed, Mohamed A.
Source :
Mathematics (2227-7390); Apr2024, Vol. 12 Issue 7, p934, 11p
Publication Year :
2024

Abstract

This correction notice provides updates and corrections to a research paper on deep machine learning model-based cyber-attacks detection in smart power systems. The paper proposes a deep learning-based attack detection model that addresses system disturbances caused by natural events and cyber-attacks. It discusses the use of principal component analysis (PCA) for feature selection and the potential of deep learning-based and decision tree classifiers for detecting cyber-attacks in intelligent energy grids. The notice also includes updates to references, clarifications on the experimental data set, and feature selection based on PCA. The study evaluates the effectiveness of the proposed model using various assessment indexes and compares it to conventional methods, concluding that the proposed model is effective in detecting cyber-attacks and demonstrates good performance in detecting destructive attacks. [Extracted from the article]

Details

Language :
English
ISSN :
22277390
Volume :
12
Issue :
7
Database :
Complementary Index
Journal :
Mathematics (2227-7390)
Publication Type :
Academic Journal
Accession number :
176593714
Full Text :
https://doi.org/10.3390/math12070934