An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems

An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems

Big data has the ability to open up innovative and ground-breaking prospects for the electrical grid, which also supports to obtain a variety of technological, social, and financial benefits. There is an unprecedented amount of heterogeneous big data as a consequence of the growth of power grid tech...

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Bibliographic Details
Main Authors: Sankaramoorthy Muthubalaji, Naresh Kumar Muniyaraj, Sarvade Pedda Venkata Subba Rao, Kavitha Thandapani, Pasupuleti Rama Mohan, Thangam Somasundaram, Yousef Farhaoui
Format: Article
Language:English
Published: Tsinghua University Press 2024-06-01
Series:Big Data Mining and Analytics
Subjects:
smart grid
big data analytics
machine learning (ml)
adabelief exponential feature selection (aefs)
polar bear optimization (pbo)
kernel extreme neural network (kenn)
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2023.9020022
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https://www.sciopen.com/article/10.26599/BDMA.2023.9020022

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