Malware Feature Extraction
Malware Feature Extraction is a computational method within malware analysis that identifies and isolates distinctive structural, behavioral, or semantic attributes from malicious software to enable subsequent tasks such as classification, triage, or threat intelligence.
627
Publications
30.6K
Citations
1.7K
Authors
598
Institutions
Publications per year
2017–2026
473
627
Detection of Malicious Code Variants Based on Deep Learning
Zhihua Cui, Fei Xue, Xingjuan Cai et al. · IEEE Transactions on Industrial Informatics · 2018 · 604 citations
Deep Android Malware Detection
Niall McLaughlin, Jesús Martínez del Rincón, BooJoong Kang et al. · 2017 · 495 citations · Full text
Malware classification with recurrent networks
Razvan Pascanu, Jack W. Stokes, H. Y. Y. Sanossian et al. · 2015 · 421 citations
1–5 of 627
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598

Sichuan University
Chengdu, China
14 h-index
50 publications
2.9K citations

Shiraz University
Shiraz, Iran
10 h-index
23 publications
753 citations

Beijing University of Posts and Telecommunications
Beijing, China
10 h-index
23 publications
540 citations

Hunan University
Changsha, China
9 h-index
29 publications
2.2K citations

Deakin University
Burwood, Australia
9 h-index
18 publications
1.3K citations
Institute of Information Engineering
Beijing, China
8 h-index
29 publications
1.6K citations

National University of Defense Technology
Changsha, China
7 h-index
13 publications
1.1K citations

University of Electronic Science and Technology of China
Chengdu, China
7 h-index
17 publications
490 citations
1–8 of 598
31 publications · 2.2K citations
27
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30 publications · 1.6K citations
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Repository · 17 publications · 649 citations
16
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13 publications · 456 citations
13
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11 publications · 501 citations
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