A lightweight approach for network intrusion detection in industrial cyber-physical systems based on knowledge distillation and deep metric learning

Author:

Wang Zhendong,Li Zeyu,He Daojing,Chan Sammy

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference53 articles.

1. Maha M. Althobaiti, K. Pradeep Mohan Kumar, Deepak Gupta, Sachin Kumar, Romany F. Mansour. “An intelligent cognitive computing based intrusion detection for industrial cyber-physical systems,” Measurement,Volume 186,2021,https://doi.org/10.1016/j.measurement.2021.110145.

2. Autoencoder-based deep metric learning for network intrusion detection;Andresini;Information Sciences,2021

3. Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, Hartwig Adam. “MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications,” arXiv preprint arXiv:170404861.

4. I-SiamIDS: An improved Siam-IDS for handling class imbalance in network-based intrusion detection systems;Bedi;Applied Intelligence,2021

5. Signature verification using a siamese time delay neural network;Bromley;International Journal of Pattern Recognition and Artificial Intelligence – IJPRAI,1993

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