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Android malware detection using hybrid ANFIS architecture with low computational cost convolutional layers
BACKGROUND: Android is the most widely used operating system all over the world. Due to its open nature, the Android operating system has become the target of malicious coders. Ensuring privacy and security is of great importance to Android users. METHODS: In this study, a hybrid architecture is pro...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575934/ https://www.ncbi.nlm.nih.gov/pubmed/36262124 http://dx.doi.org/10.7717/peerj-cs.1092 |