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An Efficient DenseNet-Based Deep Learning Model for Malware Detection
Recently, there has been a huge rise in malware growth, which creates a significant security threat to organizations and individuals. Despite the incessant efforts of cybersecurity research to defend against malware threats, malware developers discover new ways to evade these defense techniques. Tra...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7998822/ https://www.ncbi.nlm.nih.gov/pubmed/33804035 http://dx.doi.org/10.3390/e23030344 |