Anomaly-based intrusion detection system in IoT using kernel extreme learning machine
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-022-03887-w.pdf
Reference37 articles.
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2. Alanazi M, Aljuhani A (2022) Anomaly detection for Internet of Things cyberattacks. Computers, Materials & Continua 72:261–279
3. Alharbi A, Alosaimi W, Alyami H, Rauf HT, Damaševičius R (2021) Botnet attack detection using local global best bat algorithm for industrial internet of things. Electronics 10:1341. https://doi.org/10.3390/electronics10111341
4. Al-Hawawreh M, Moustafa N, Sitnikova E (2018) Identification of malicious activities in industrial internet of things based on deep learning models. J Inf Secur Appl 41:1–11. https://doi.org/10.1016/j.jisa.2018.05.002
5. Aljuhani A (2021) Machine learning approaches for combating distributed denial of service attacks in modern networking environments. IEEE Access 9:42236–42264. https://doi.org/10.1109/ACCESS.2021.3062909
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