An adaptive hybrid framework for IIoT intrusion detection using neural networks and feature optimization using genetic algorithms

An adaptive hybrid framework for IIoT intrusion detection using neural networks and feature optimization using genetic algorithms

Abstract In Industrial Internet of Things (IIoT) networks, securing device connectivity through effective intrusion detection systems is essential for maintaining operational integrity. This paper presents an adaptive hybrid framework for IIoT intrusion detection that combines Artificial Neural Netw...

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Bibliographic Details
Main Authors: Mohammad Zubair Khan, Aijaz Ahmad Reshi, Shabana Shafi, Ibrahim Aljubayri
Format: Article
Language:English
Published: Springer 2025-05-01
Series:Discover Sustainability
Subjects:
IIoT
ANN
Genetic Algorithm
Feature Optimization
Online Access:https://doi.org/10.1007/s43621-025-01141-9
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https://doi.org/10.1007/s43621-025-01141-9

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