DDoS attack detection based on LSTM-GRU in SDN environment-Reference-Cited by-同舟云学术

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DDoS attack detection based on LSTM-GRU in SDN environment

Published:2023-10-11 Issue: Volume: Page:
ISSN:
Container-title:Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023)
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Author:

Gao Chenguang,Yin Mingxuan

Publisher

SPIE

Reference13 articles.

1. A comprehensive survey of DDoS defense solutions in SDN: Taxonomy, research challenges, and future directions

2. Adversarial Deep Learning approach detection and defense against DDoS attacks in SDN environments

3. TP2SF: A Trustworthy Privacy-Preserving Secured Framework for sustainable smart cities by leveraging blockchain and machine learning

4. An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks

Cited by 1 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. Evaluating the Performance of Long Short-Term Memory for Web Attack Detection;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13

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