Supervised Machine Learning Algorithms Based on Classification for Detection of Distributed Denial of Service Attacks in SDN-Enabled Cloud Computing

Author:

Mishra Anupama,Gupta Neena

Publisher

Springer Nature Singapore

Cited by 6 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. Detection and Prevention of Distributed Denial of Service (DDoS) Attacks Using Machine Learning Techniques;2024 2nd International Conference on Networking and Communications (ICNWC);2024-04-02

2. A dynamic intrusion detection system for critical information infrastructure;Scientific African;2023-09

3. Automated Denial of Service Detection Using Moth Flame Optimization With Machine Learning in Cloud Environment;2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2023-04-21

4. ML-Based Traffic Classification in an SDN-Enabled Cloud Environment;Electronics;2023-01-05

5. A Cost-Sensitive Machine Learning Model With Multitask Learning for Intrusion Detection in IoT;IEEE Transactions on Industrial Informatics;2023

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