Unveiling the Landscape of Machine Learning and Deep Learning Methodologies in Network Security: A Comprehensive Literature Review-Reference-Cited by-同舟云学术

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Unveiling the Landscape of Machine Learning and Deep Learning Methodologies in Network Security: A Comprehensive Literature Review

Published:2024-02-26 Issue: Volume:5 Page:1-7
ISSN:
Container-title:2024 2nd International Conference on Cyber Resilience (ICCR)
language:
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Author:

Saeed Nouf Majid Sultan Eid¹,Ibrahim Amer¹,Ali Liaqat²,Al-Dmour Nidal A.³,Mohammed Abdul Salam⁴,Ghazal Taher M.⁵

Affiliation:

1. American University in the Emirates,Dubai,United Arab Emirates

2. College of Engineering and Technology, University of Science and Technology of Fujairah,Fujairah,UAE

3. College of Engineering, Mutah University,Department of Computer Engineering,Jordan

4. Skyline University College, University City Sharjah,Shariah,UAE

5. Khalifa University,Centre for Cyber Physical Systems,Computer Science Department

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10532252/10532778/10533066.pdf?arnumber=10533066

Reference41 articles.

1. Building AI Applications: Yesterday, Today, and Tomorrow

2. Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions

3. A real-time and ubiquitous network attack detection based on deep belief network and support vector machine

4. A GPU deep learning metaheuristic based model for time series forecasting

5. Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

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