Machine Learning Based Cloud Computing Anomalies Detection-Reference-Cited by-同舟云学术

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Machine Learning Based Cloud Computing Anomalies Detection

Published:2020-11 Issue:6 Volume:34 Page:178-183
ISSN:0890-8044
Container-title:IEEE Network
language:
Short-container-title:IEEE Network

Author:

Chkirbene Zina,Erbad Aiman,Hamila Ridha,Gouissem Ala,Mohamed Amr,Hamdi Mounir

Funder

Qatar National Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://xplorestaging.ieee.org/ielx7/65/9275414/09183765.pdf?arnumber=9183765

Cited by 16 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. Research trends in deep learning and machine learning for cloud computing security;Artificial Intelligence Review;2024-05-02

2. A Systematic Review on Game-Theoretic Models and Different Types of Security Requirements in Cloud Environment: Challenges and Opportunities;Archives of Computational Methods in Engineering;2024-04-01

3. A Survey on Anomaly Detection in Network with ML Techniques;Lecture Notes in Networks and Systems;2024

4. Federated deep Q-learning networks for service-based anomaly detection and classification in edge-to-cloud ecosystems;Annals of Telecommunications;2023-08-31

5. Enhancing Industrial Cyber Security, Focusing on Formulating a Practical Strategy for Making Predictions through Machine Learning Tools in Cloud Computing Environment;Electronics;2023-06-13

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