Deep Learning-based Slow DDoS Attack Detection in SDN-based Networks-Reference-Cited by-同舟云学术

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Deep Learning-based Slow DDoS Attack Detection in SDN-based Networks

Published:2020-11-10 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)
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Author:

Nugraha Beny,Murthy Rathan Narasimha

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9289697/9289848/09289894.pdf?arnumber=9289894

Cited by 57 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. Robust DDoS attack detection with adaptive transfer learning;Computers & Security;2024-09

2. An entropy and machine learning based approach for DDoS attacks detection in software defined networks;Scientific Reports;2024-08-06

3. FloodKnight: an intelligent DDoS defense scheme to combat attacks near attack entry points;Journal of Computer Virology and Hacking Techniques;2024-08-05

4. Classification of DDoS attack traffic on SDN network environment using deep learning;Cybersecurity;2024-08-02

5. A comprehensive review of vulnerabilities and AI-enabled defense against DDoS attacks for securing cloud services;Computer Science Review;2024-08

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