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A malware detection system using a hybrid approach of multi-heads attention-based control flow traces and image visualization
Android is the most widely used mobile platform, making it a prime target for malicious attacks. Therefore, it is imperative to effectively circumvent these attacks. Recently, machine learning has been a promising solution for malware detection, which relies on distinguishing features. While machine...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9633577/ https://www.ncbi.nlm.nih.gov/pubmed/36345308 http://dx.doi.org/10.1186/s13677-022-00349-8 |