Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis-Reference-Cited by-同舟云学术

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Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis

Published:2024-06 Issue:3 Volume:21 Page:3555-3582
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Yang Li¹^ORCID,Rajab Mirna El²^ORCID,Shami Abdallah²^ORCID,Muhaidat Sami³^ORCID

Affiliation:

1. Faculty of Business and Information Technology, Ontario Tech University, Oshawa, ON, Canada

2. Department of Electrical and Computer Engineering, Western University, London, ON, Canada

3. Department of Electrical Engineering and Computer Science, Khalifa University, Abu Dhabi, UAE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4275028/10599562/10472316.pdf?arnumber=10472316

Reference105 articles.

1. Survey on 6G Frontiers: Trends, Applications, Requirements, Technologies and Future Research

2. Zero Touch Management: A Survey of Network Automation Solutions for 5G and 6G Networks

3. Deep-Learning-Based Blockchain for Secure Zero Touch Networks

4. Optimized and automated machine learning techniques towards IoT data analytics and cybersecurity;Yang

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