A network intrusion detection system based on deep learning in the IoT
Author:
Funder
National Natural Science Foundation of China
Shandong Province Statistical Research Project
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11227-024-06345-w.pdf
Reference74 articles.
1. Zeeshan M, Riaz Q, Bilal MA et al (2022) Protocol-based deep intrusion detection for dos and DDOS attacks using UNSW-nb15 and bot-IoT data-sets. IEEE Access 10:2269–2283. https://doi.org/10.1109/ACCESS.2021.3137201
2. Lazzarini R, Tianfield H, Charissis V (2023) A stacking ensemble of deep learning models for IoT intrusion detection. Knowl Based Syst 279:110941. https://doi.org/10.1016/j.knosys.2023.110941
3. Liu Z, Su N, Qin Y et al (2020) A deep random forest model on spark for network intrusion detection. Mobile Inf Syst 1:6633252. https://doi.org/10.1155/2020/6633252
4. Mohammadpour L, Ling TC, Liew CS et al (2022) A survey of CNN-based network intrusion detection. Appl Sci. https://doi.org/10.3390/app12168162
5. Mu Q, Chen Y, Zhang Y (2012) Incremental svm algorithm to intrusion detection base on boundary areas. In: 2012 International Conference on Systems and Informatics (ICSAI2012), pp 198–201, https://doi.org/10.1109/ICSAI.2012.6223447
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