Quantum Dwarf Mongoose Optimization With Ensemble Deep Learning Based Intrusion Detection in Cyber-Physical Systems

Quantum Dwarf Mongoose Optimization With Ensemble Deep Learning Based Intrusion Detection in Cyber-Physical Systems

Cyber-physical systems (CPS) combine computational and physical elements to enable effective and intelligent control of several applications. However, the increasing connectivity and complexity of CPS introduce new security challenges, making intrusion detection a critical aspect for maintaining the...

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Bibliographic Details
Main Authors: Laila Almutairi, Ravuri Daniel, Shaik Khasimbee, E. Laxmi Lydia, Srijana Acharya, Hyun-Il Kim
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Cyber-physical system
deep learning
feature selection
intrusion detection
ensemble learning
Online Access:https://ieeexplore.ieee.org/document/10156784/

Internet

https://ieeexplore.ieee.org/document/10156784/

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