Federated transfer learning for intrusion detection system in industrial iot 4.0-Reference-Cited by-同舟云学术

Federated transfer learning for intrusion detection system in industrial iot 4.0

Published:2024-02-16 Issue:19 Volume:83 Page:57913-57941
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

N Malathy,G Shree Harish Kumar,R Sriram,NR Jebocen Immanuel Raj

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-18379-6.pdf

Reference60 articles.

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3. Aamir M, Zaidi SMA (2021) Clustering based semi-supervised machine Learning for DDoS attack classification. J King Saud Univ-Comput Inf Sci 33(4):436–446

4. Hara K, Shiomoto K (2020) Intrusion detection system using semi-supervised learning with adversarial auto-encoder, NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium, Budapest, Hungary, pp 1–8. https://doi.org/10.1109/NOMS47738.2020.9110343

5. Nguyen TD, Marchal S, Miettinen M, Fereidooni H, Asokan N, Sadeghi A-R (2019) DÏoT:A federated self-learning anomaly detection system for IoT. In: Proc IEEE 39th Int Conf Distrib Comput Syst pp 756–767. https://doi.org/10.48550/arXiv.1804.07474