A novel bidirectional LSTM model for network intrusion detection in SDN-IoT network-Reference-Cited by-同舟云学术

A novel bidirectional LSTM model for network intrusion detection in SDN-IoT network

Published:2024-05-27 Issue:8 Volume:106 Page:2613-2642
ISSN:0010-485X
Container-title:Computing
language:en
Short-container-title:Computing

Author:

Sri vidhya G.^ORCID,Nagarajan R.^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00607-024-01295-w.pdf

Reference25 articles.

1. Farhady H, Lee H, Nakao A (2015) Software-defined networking: a survey. Comput Netw 81:79–95. https://doi.org/10.1016/j.comnet.2015.02.014

2. Bera S, Misra S, Vasilakos AV (2017) Software-defined networking for internet of things: a survey. IEEE Internet Things J 4(6):1994–2008. https://doi.org/10.1109/JIOT.2017.2746186

3. PrzemyslawKazienko& Piotr Dorosz Intrusion detection systems (IDS) Part I - (network intrusions; attack symptoms; IDS tasks; and IDS architecture). www.windowsecurity.com › Articles & Tutorials

4. Wang S et al (2022) Detecting flooding DDoS attacks in software-defined networks using supervised learning techniques. Eng Sci Technol Int J 35:101176. https://doi.org/10.1016/j.jestch.2022.101176

5. Sahoo KS et al (2020) An Evolutionary SVM Model for DDOS Attack Detection in Software Defined Networks, in IEEE Access, vol. 8, pp. 132502–132513, https://doi.org/10.1109/ACCESS.2020.3009733. https://doi.org/10.1109/ACCESS.2020.3009733

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. Cost-sensitive stacked long short-term memory with an evolutionary framework for minority class detection;Applied Soft Computing;2024-11