GDE model: A variable intrusion detection model for few-shot attack-Reference-Cited by-同舟云学术

GDE model: A variable intrusion detection model for few-shot attack

Published:2023-12 Issue:10 Volume:35 Page:101796
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Yan Yu,Yang Yu,Shen Fang,Gao Minna,Gu Yuheng

Publisher

Elsevier BV

Subject

General Computer Science

Reference60 articles.

1. Revisiting data augmentation for subspace clustering;Abdolali;Knowl.-Based Syst.,2022

2. A review of iot network management: Current status and perspectives;Aboubakar;J. King Saud Univ.-Comput. Infor. Sci.,2022

3. Drann_pso: A deep random neural network with particle swarm optimization for intrusion detection in the industrial internet of things;Ahmad;J. King Saud Univ.-Comput. Infor. Sci.,2022

4. An explainable efficient flow-based industrial iot intrusion detection system;Alani;Comput. Electr. Eng.,2023

5. Towards an explainable universal feature set for iot intrusion detection;Alani;Sensors,2022

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GSOOA-1DDRSN: Network traffic anomaly detection based on deep residual shrinkage networks;Heliyon;2024-06

2. Meta learning-based few-shot intrusion detection for 5G-enabled industrial internet;Complex & Intelligent Systems;2024-03-25

3. MUS Model: A Deep Learning-Based Architecture for IoT Intrusion Detection;Computers, Materials & Continua;2024

4. Gradient-guided hierarchical feature attack for object detector;Journal of King Saud University - Computer and Information Sciences;2024-01