Towards an Efficient DDoS Detection Scheme for Software-Defined Networks-Reference-Cited by-同舟云学术

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Towards an Efficient DDoS Detection Scheme for Software-Defined Networks

Published:2018-08 Issue:8 Volume:16 Page:2296-2301
ISSN:1548-0992
Container-title:IEEE Latin America Transactions
language:
Short-container-title:IEEE Latin Am. Trans.

Author:

Lima Nelson A.S.,Fernandez Marcial P.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/9907/8528218/08528249.pdf?arnumber=8528249

Cited by 14 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. A machine learning-based ensemble model for securing the IoT network;Cluster Computing;2024-05-12

2. SYNTROPY: TCP SYN DDoS attack detection for Software Defined Network based on Rényi entropy;Computer Networks;2024-05

3. Detection of Denial-of-Service Attacks in Software-Defined Networking Based on Traffic Classification using Deep learning;2024 10th International Conference on Artificial Intelligence and Robotics (QICAR);2024-02-29

4. SDNTruth: Innovative DDoS Detection Scheme for Software-Defined Networks (SDN);Journal of Network and Systems Management;2023-06-17

5. The proposed hybrid deep learning intrusion prediction IoT (HDLIP-IoT) framework;PLOS ONE;2022-07-29

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