A Study on Classification of Variant Malware Family Based on ResNet-Variational AutoEncoder
Young-jeon Lee, Myung-Mook Han, Journal of Internet Computing and Services, Vol. 22, No. 2, pp. 1-9, Apr. 2021
10.7472/jksii.2021.22.2.1, Full Text:
Keywords: Variant Malware, Malware classification, Variational AutoEncoder, Tranfer Learning, Ensemble learning
Abstract
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Cite this article
[APA Style]
Lee, Y. & Han, M. (2021). A Study on Classification of Variant Malware Family Based on ResNet-Variational AutoEncoder. Journal of Internet Computing and Services, 22(2), 1-9. DOI: 10.7472/jksii.2021.22.2.1.
[IEEE Style]
Y. Lee and M. Han, "A Study on Classification of Variant Malware Family Based on ResNet-Variational AutoEncoder," Journal of Internet Computing and Services, vol. 22, no. 2, pp. 1-9, 2021. DOI: 10.7472/jksii.2021.22.2.1.
[ACM Style]
Young-jeon Lee and Myung-Mook Han. 2021. A Study on Classification of Variant Malware Family Based on ResNet-Variational AutoEncoder. Journal of Internet Computing and Services, 22, 2, (2021), 1-9. DOI: 10.7472/jksii.2021.22.2.1.