Incremental clustering method based on Gaussian mixture model to identify malware family
Aiming at the logical similarity of the behavioral characteristics of malware belonging to the same family,the characteristics of malware were extracted by tracking the logic rules of API function call from the perspective of behavior detection,and the static analysis and dynamic analysis methods we...
Saved in:
Main Authors: | Jianwei HU, Xin CHE, Man ZHOU, Yanpeng CUI |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2019-06-01
|
Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019135/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Homology analysis of malware based on graph
by: Bing-lin ZHAO, et al.
Published: (2017-11-01) -
Malware detection approach based on improved SOINN
by: Bin ZHANG, et al.
Published: (2019-12-01) -
The role of smart electricity meter data analysis in driving sustainable development
by: Archana Y. Chaudhari, et al.
Published: (2025-06-01) -
Anomaly detection algorithm based on Gaussian mixture variational auto encoder network
by: Huahua CHEN, et al.
Published: (2021-04-01) -
Gaussian mixtures closest to a given measure via optimal transport
by: Lasserre, Jean B.
Published: (2024-11-01)