Chaotic tumbleweed optimization algorithm with stacked deep learning based cyberattack detection in industrial CPS environment-Reference-Cited by-同舟云学术

Chaotic tumbleweed optimization algorithm with stacked deep learning based cyberattack detection in industrial CPS environment

Published:2023-12 Issue: Volume:84 Page:250-261
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Alruban Abdulrahman,Alrayes Fatma S.,Kouki Fadoua,Alotaibi Faiz Abdullah,Aljehane Nojood O.,Mohamed Abdullah

Funder

Princess Nourah bint Abdulrahman University

Deanship of Scientific Research, King Khalid University

Publisher

Elsevier BV

Subject

General Engineering

Reference23 articles.

1. Federated learning inspired low-complexity intrusion detection and classification technique for SDN-Based Industrial CPS;Zainudin;IEEE Trans. Netw. Serv. Manag.,2023

2. Artificial intelligence-based optimization with deep learning model for blockchain enabled intrusion detection in CPS environment;Mansour;Sci. Rep.,2022

3. Deep learning approaches for intrusion detection in IIoT networks–opportunities and future directions;Vaiyapuri;Int. J. Adv. Comput. Sci. Appl.,2021

4. Sine-Cosine-Adopted African Vultures Optimization with Ensemble Autoencoder-Based Intrusion Detection for Cybersecurity in CPS Environment;Almuqren;Sensors,2023

5. A Novel Learning-Based Attack Detection System for Enhancing Security in Cyber-Physical Environments;Zhijun;Computer Science,2022

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1. Deep Learning-based Enhanced Security in Cyber- Physical Systems: A Multi-Attack Perspective;2024 International Conference on Computational Intelligence and Computing Applications (ICCICA);2024-05-23