Research on intrusion detection for maritime meteorological sensor network based on balancing generative adversarial network
Aiming at the problem that the resources of maritime mobile terminals were limited and the network traffic was imbalanced in the MMSN (maritime meteorological sensor network) environment, which made it difficult to detect network intrusion accurately, a mobile edge computing based physical architect...
Saved in:
Main Authors: | Xin SUN, Guifu ZHANG, Hongyan XING, Wang Zenghui |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2023-04-01
|
Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023078/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of adversarial machine learning in network intrusion detection
by: Qixu LIU, et al.
Published: (2021-11-01) -
Advances in generative adversarial network
by: Wanliang WANG, et al.
Published: (2018-02-01) -
Unsupervised intrusion detection model based on temporal convolutional network
by: LIAO Jinju, et al.
Published: (2025-01-01) -
Adversarial Drift Detection in Intrusion Detection System
by: Yaguan Qian, et al.
Published: (2015-03-01) -
Stock price prediction with attentive temporal convolution-based generative adversarial network
by: Ying Liu, et al.
Published: (2025-03-01)