Machine learning for network resilience: The start of a journey-Reference-Cited by-同舟云学术

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Machine learning for network resilience: The start of a journey

Published:2018-04 Issue: Volume: Page:
ISSN:
Container-title:2018 Fifth International Conference on Software Defined Systems (SDS)
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Author:

Hussein Ali,Chehab Ali,Kayssi Ayman,Elhajj Imad H.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8362835/8370402/08370423.pdf?arnumber=8370423

Cited by 7 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. An Adaptive State Consistency Architecture for Distributed Software-Defined Network Controllers: An Evaluation and Design Consideration;Applied Sciences;2024-03-21

2. Cyber resilience in industrial networks: A state of the art, challenges, and future directions;Journal of King Saud University - Computer and Information Sciences;2023-10

3. Fault-Resilience for Bandwidth Management in Industrial Software-Defined Networks;IEEE Transactions on Network Science and Engineering;2021-10-01

4. COVID and Climate: Exploring Categorical Resilience in the Built Environment;COVID-19: Systemic Risk and Resilience;2021

5. Securing industrial communication with software-defined networking;Mathematical Biosciences and Engineering;2021

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