Detecting DDoS based on attention mechanism for Software-Defined Networks-Reference-Cited by-同舟云学术

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Detecting DDoS based on attention mechanism for Software-Defined Networks

Published:2024-10 Issue: Volume:230 Page:103928
ISSN:1084-8045
Container-title:Journal of Network and Computer Applications
language:en
Short-container-title:Journal of Network and Computer Applications

Author:

Yoon Namkyung^ORCID,Kim Hwangnam^ORCID

Publisher

Elsevier BV

Reference74 articles.

1. Towards DDoS attack detection using deep learning approach;Aktar;Comput. Secur.,2023

2. Migrating from legacy to software defined networks: A network reliability perspective;Al Mtawa;IEEE Trans. Reliab.,2021

3. Intrusion detection using attention-based CNN-LSTM model;Al-Omar,2023

4. A comparison of unidirectional and bidirectional LSTM networks for human activity recognition;Alawneh,2020

5. Experimental evaluation of the impact of DoS attacks in SDN;Alharbi,2017

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1. Adaptive Sensing Data Augmentation for Drones Using Attention-Based GAN;Sensors;2024-08-22

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