Network threat situation assessment based on unsupervised multi-source data feature analysis
Aiming at the limitations of supervised neural network in the network threat testing task relying on data category tagging,a network threat situation evaluation method based on unsupervised multi-source data feature analysis was proposed.Firstly,a variant auto encoder-generative adversarial network...
Saved in:
Main Authors: | Hongyu YANG, Fengyan WANG |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2020-02-01
|
Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020015/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Network security situational awareness model based on threat intelligence
by: Hongbin ZHANG, et al.
Published: (2021-06-01) -
Research on the Defense of Advanced Persistent Threats in Enterprise Network
by: Dongxin Liu, et al.
Published: (2013-12-01) -
Quantitative threat situational assessment method for higher secure attribute value device
by: Lei HAN, et al.
Published: (2020-10-01) -
Application of security threat intelligence based on big data analysis in telecom operators
by: Mingxia BO, et al.
Published: (2020-11-01) -
Method for router online security risk assessment quantification
by: Jun-gang YANG, et al.
Published: (2013-11-01)