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Integration of Static and Dynamic Analysis for Malware Family Classification with Composite Neural Network
[article]
2019
arXiv
pre-print
Deep learning has been used in the research of malware analysis. Most classification methods use either static analysis features or dynamic analysis features for malware family classification, and rarely combine them as classification features and also no extra effort is spent integrating the two types of features. In this paper, we combine static and dynamic analysis features with deep neural networks for Windows malware classification. We develop several methods to generate static and dynamic
arXiv:1912.11249v1
fatcat:sz5fndjgiffn3b5y2aiafjdcua