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An Android Malware Detection Approach to Enhance Node Feature Differences in a Function Call Graph Based on GCNs
The smartphone has become an indispensable tool in our daily lives, and the Android operating system is widely installed on our smartphones. This makes Android smartphones a prime target for malware. In order to address threats posed by malware, many researchers have proposed different malware detec...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224091/ https://www.ncbi.nlm.nih.gov/pubmed/37430643 http://dx.doi.org/10.3390/s23104729 |