Ensemble Learning Approach for Intrusion Detection Systems in Industrial Internet of Things-Reference-Cited by-同舟云学术

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Ensemble Learning Approach for Intrusion Detection Systems in Industrial Internet of Things

Published:2023-12-04 Issue: Volume:2 Page:1-7
ISSN:
Container-title:2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA)
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Author:

Nuaimi Mudhafar¹,Fourati Lamia Chaari²,Ben Hamed Bassem³

Affiliation:

1. Digital Research Center of SFAX (CRNS) University of Sfax,National School of Electronics and Telecommunications of Sfax, Laboratory of Signals Systems, Artificial Intelligence and Networks (SM@RTS),Sfax,Tunisia

2. Tunisia University of Thi,Qar,Iraq

3. Digital Research Center of SFAX University of Sfax,Laboratory of Signals Systems, Artificial Intelligence and Networks (SM@RTS),Sfax,Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10479189/10479228/10479270.pdf?arnumber=10479270

Reference27 articles.

1. Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges

2. An ensemble deep learning model for cyber threat hunting in industrial internet of things

3. Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities

4. Deep Learning in the Industrial Internet of Things: Potentials, Challenges, and Emerging Applications

5. Deep Learning for Computer Vision: A Brief Review

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