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Malicious Code Variant Identification Based on Multiscale Feature Fusion CNNs

The increasing volume and types of malwares bring a great threat to network security. The malware binary detection with deep convolutional neural networks (CNNs) has been proved to be an effective method. However, the existing malware classification methods based on CNNs are unsatisfactory to this d...

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Detalles Bibliográficos
Autores principales: Wang, Shuo, Wang, Jian, Song, Yafei, Li, Song
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8691988/
https://www.ncbi.nlm.nih.gov/pubmed/34950195
http://dx.doi.org/10.1155/2021/1070586