Deep learning approach for Network Intrusion Detection in Software Defined Networking-Reference-Cited by-同舟云学术

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Deep learning approach for Network Intrusion Detection in Software Defined Networking

Published:2016-10 Issue: Volume: Page:
ISSN:
Container-title:2016 International Conference on Wireless Networks and Mobile Communications (WINCOM)
language:
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Author:

Tang Tuan A,Mhamdi Lotfi,McLernon Des,Zaidi Syed Ali Raza,Ghogho Mounir

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7764433/7777180/07777224.pdf?arnumber=7777224

Cited by 497 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. SAGB: self-attention with gate and BiGRU network for intrusion detection;Complex & Intelligent Systems;2024-09-09

2. Preprocessing-Based Approach for Prompt Intrusion Detection in SDN Networks;Journal of Network and Systems Management;2024-08-16

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

4. MP-GUARD: A novel multi-pronged intrusion detection and mitigation framework for scalable SD-IoT networks using cooperative monitoring, ensemble learning, and new P4-extracted feature set;Computers and Electrical Engineering;2024-08

5. Enhancing intrusion detection: a hybrid machine and deep learning approach;Journal of Cloud Computing;2024-07-17

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