DeepDefend: A comprehensive framework for DDoS attack detection and prevention in cloud computing-Reference-Cited by-同舟云学术

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DeepDefend: A comprehensive framework for DDoS attack detection and prevention in cloud computing

Published:2024-02 Issue:2 Volume:36 Page:101938
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Ouhssini Mohamed^ORCID,Afdel Karim,Agherrabi Elhafed,Akouhar Mohamed^ORCID,Abarda Abdallah^ORCID

Publisher

Elsevier BV

Reference45 articles.

1. Entropy based ddos detection and mitigation in OpenFlow enabled SDN;Ahalawat,2019

2. Effectiveness of an entropy-based approach for detecting low- and high-rate ddos attacks against the SDN controller: Experimental analysis;Aladaileh;Appl. Sci.,2023

3. Machine-learning-based ddos attack detection using mutual information and random forest feature importance method;Alduailij;Symmetry,2022

4. Security in cloud computing: Opportunities and challenges;Ali;Inform. Sci.,2015

5. A view of cloud computing;Armbrust;Commun. ACM,2010

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

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