A Comparative Study of DDoS Attack in Cloud Computing Environment
| International Journal of Electronics and Communication Engineering |
| © 2023 by SSRG - IJECE Journal |
| Volume 10 Issue 7 |
| Year of Publication : 2023 |
| Authors : Animesh Kumar, Sandip Dutta, Prashant Pranav |
10.14445/23488549/IJECE-V10I7P109
How to Cite?
Animesh Kumar, Sandip Dutta, Prashant Pranav, "A Comparative Study of DDoS Attack in Cloud Computing Environment," SSRG International Journal of Electronics and Communication Engineering, vol. 10, no. 7, pp. 87-96, 2023. Crossref, https://doi.org/10.14445/23488549/IJECE-V10I7P109
Abstract:
DDoS Attack refers to the flooding of the server through various mechanisms by the attackers to devoid the user of having access to the resources or to deplete the user's available resources. DDoS attack in the cloud has been one of the most frequent attacks in the service, eventually hampering the provider's and users' economic and resource availability. This paper categorized the DDoS research papers based on Network Management, Deep Learning Methods, Machine Learning, SoftwareDefined Networks, Resource Management, Load Distribution, Fuzzy Approach, etc. Accuracy, Precision, Recall, and F1 Score are compared with forty-one different proposed methods, and comparative graphs are also shown. SaDE-ELM performs best in all datasets, and SVM performs worst.
Keywords:
Cloud attack, Cloud computing, Deep learning, Machine learning, Security issues.
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