Prevention and detection of DDOS attack in virtual cloud computing environment using Naive Bayes algorithm of machine learning-Reference-Cited by-同舟云学术

Prevention and detection of DDOS attack in virtual cloud computing environment using Naive Bayes algorithm of machine learning

Published:2024-02 Issue: Volume:31 Page:100991
ISSN:2665-9174
Container-title:Measurement: Sensors
language:en
Short-container-title:Measurement: Sensors

Author:

Shang Yongqiang

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanics of Materials,Electronic, Optical and Magnetic Materials

Reference23 articles.

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4. N. Tabassum, M. S. Khan, S. Abbas, T. Alyas, A. Athar, and M. A. Khan, “EAI Endorsed Transactions Intelligent reliability management in hyper- convergence cloud infrastructure using fuzzy inference system,”vol. 4, no. 5, pp. 1–12.

5. Detecting DNS reflection amplification DDoS attack originating from the cloud;Soliman,2019

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1. Advancements in detecting, preventing, and mitigating DDoS attacks in cloud environments: A comprehensive systematic review of state-of-the-art approaches;Egyptian Informatics Journal;2024-09

2. Enhancing network intrusion detection: a dual-ensemble approach with CTGAN-balanced data and weak classifiers;The Journal of Supercomputing;2024-04-10

3. Cloud Network Anomaly Detection Using Machine and Deep Learning Techniques— Recent Research Advancements;IEEE Access;2024