APT Malware Classification Method Based on Feature Fusion-Reference-Cited by-同舟云学术

APT Malware Classification Method Based on Feature Fusion

Published:2021-09 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Computer Information Science and Artificial Intelligence (CISAI)
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Author:

Liang He¹,Li Chao¹,Li Xin¹,Jiang Shouzhi¹

Affiliation:

1. People’s Public Security University of China,School of Information Network Security,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9718566/9718568/09719171.pdf?arnumber=9719171

Reference15 articles.

1. HEMD: a highly efficient random forest-based malware detection framework for Android

2. A malware family classification model based on deep learning [J];zheng;Journal of Information Security,2020

3. AI-HydRa: Advanced hybrid approach using random forest and deep learning for malware classification

4. Research on detection method of static modification PE input table injection DLL [J];yu;Journal of University of Electronic Science and Technology,2020

5. DLL side-loading: A thorn in the side of the anti-virus industry, 2014[J];stewart,0

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