Towards Lightweight Intrusion Identification in SDN-based Industrial Cyber-Physical Systems-Reference-Cited by-同舟云学术

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Towards Lightweight Intrusion Identification in SDN-based Industrial Cyber-Physical Systems

Published:2022-10-19 Issue: Volume: Page:
ISSN:
Container-title:2022 27th Asia Pacific Conference on Communications (APCC)
language:
Short-container-title:

Author:

Zainudin Ahmad¹,Akter Rubina²,Kim Dong-Seong³,Lee Jae-Min³

Affiliation:

1. Kumoh National Institute of Technology,Department of Electronic Engineering,Gumi,Korea,39177

2. Kumoh National Institute of Technology,ICT Convergence Research Center,Gumi,South Korea,39177

3. Kumoh National Institute of Technology,Department of IT Convergence Engineering,Gumi,Korea,39177

Funder

National Research Foundation of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9943568/9943554/09943641.pdf?arnumber=9943641

Reference17 articles.

1. An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks

2. Lightweight Hybrid Deep Learning Architecture and Model for Security in IIoT;rani;Applied Sciences,2022

3. Toward a Lightweight Intrusion Detection System for the Internet of Things

4. Efficient Classification of Enciphered SCADA Network Traffic in Smart Factory Using Decision Tree Algorithm

5. An Ensemble Feature Selection Algorithm for Machine Learning based Intrusion Detection System

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Network Security Challenges and Countermeasures for Software-Defined Smart Grids: A Survey;Smart Cities;2024-08-02

2. Using Feature Selection Enhancement to Evaluate Attack Detection in the Internet of Things Environment;Electronics;2024-04-26

3. A blockchain-enabled collaborative intrusion detection framework for SDN-assisted cyber-physical systems;International Journal of Information Security;2023-04-06

4. Enhancing Intrusion Detection in Industrial Internet of Things through Automated Preprocessing;Advances in Science and Technology Research Journal;2023-04-01

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