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DeepDetectNet vs RLAttackNet: An adversarial method to improve deep learning-based static malware detection model
Deep learning methods are being increasingly widely used in static malware detection field because they can summarize the feature of malware and its variants that have never appeared before. But similar to the picture recognition model, the static malware detection model based on deep learning is al...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7179847/ https://www.ncbi.nlm.nih.gov/pubmed/32324836 http://dx.doi.org/10.1371/journal.pone.0231626 |