Federated continual representation learning for evolutionary distributed intrusion detection in Industrial Internet of Things-Reference-Cited by-同舟云学术

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Federated continual representation learning for evolutionary distributed intrusion detection in Industrial Internet of Things

Published:2024-09 Issue: Volume:135 Page:108826
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhang Zhao,Zhang Yong,Li Hao^ORCID,Liu Shenbo^ORCID,Chen Wei,Zhang Zhigang^ORCID,Tang Lijun

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference27 articles.

1. GAN-AE: An unsupervised intrusion detection system for MQTT networks;Boppana;Eng. Appl. Artif. Intell.,2023

2. Adaptive intrusion detection systems: Class incremental learning for IoT emerging threats;Cerasuolo,2023

3. A survey of network automation for industrial internet-of-things towards industry 5.0;Chi;IEEE Trans. Ind. Inform.,2022

4. Dong, J., Wang, L., Fang, Z., et al., 2022. Federated class-incremental learning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 10164–10173.

5. DeepCoin: A novel deep learning and blockchain-based energy exchange framework for smart grids;Ferrag;IEEE Trans. Eng. Manage.,2019

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