A Machine Learning-Based Approach for Anomaly Detection for Secure Cloud Computing Environments-Reference-Cited by-同舟云学术

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A Machine Learning-Based Approach for Anomaly Detection for Secure Cloud Computing Environments

Published:2023-01-05 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)
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Author:

Parameswarappa Priya¹,Shah Taral²,Lanke Govinda Rajulu³

Affiliation:

1. University of the Cumberlands,School of Technology,USA

2. Pace Univerty,School of Information System,USA

3. Birla Institute of Technology & Science,Data Science & Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10053371/10052779/10053518.pdf?arnumber=10053518

Reference12 articles.

1. A novel intrusion severity analysis approach for Clouds

2. A comparative analysis of SVM and its stacking with other classification algorithm for intrusion detection

3. Machine Learning Based DDoS Attack Detection from Source Side in Cloud

4. A survey of deep learning-based network anomaly detection

5. A Contextual Anomaly Detection Approach to Discover Zero-Day Attacks

Cited by 2 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. Enhancing Cloud Security;Advances in Information Security, Privacy, and Ethics;2024-02-02

2. Anomaly Detection in Cloud Network: A Review;BIO Web of Conferences;2024

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