An equilibrium optimizer with deep recurrent neural networks enabled intrusion detection in secure cyber-physical systems

An equilibrium optimizer with deep recurrent neural networks enabled intrusion detection in secure cyber-physical systems

Cyber-physical systems (CPSs) are characterized by their integration of physical processes with computational and communication components. These systems are utilized in various critical infrastructure sectors, including energy, healthcare, transportation, and manufacturing, making them attractive t...

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Bibliographic Details
Main Authors: E Laxmi Lydia, Chukka Santhaiah, Mohammed Altaf Ahmed, K. Vijaya Kumar, Gyanendra Prasad Joshi, Woong Cho
Format: Article
Language:English
Published: AIMS Press 2024-03-01
Series:AIMS Mathematics
Subjects:
smart environment
cyber-physical system
security
intrusion detection
deep learning
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2024574?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.2024574?viewType=HTML

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