Cargando…
FG-Droid: Grouping based feature size reduction for Android malware detection
BACKGROUND: The number of applications prepared for use on mobile devices has increased rapidly with the widespread use of the Android OS. This has resulted in the undesired installation of Android application packages (APKs) that violate user privacy or are malicious. The increasing similarity betw...
Autor principal: | Arslan, Recep Sinan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299264/ https://www.ncbi.nlm.nih.gov/pubmed/35875648 http://dx.doi.org/10.7717/peerj-cs.1043 |
Ejemplares similares
-
AndroAnalyzer: android malicious software detection based on deep learning
por: Arslan, Recep Sinan
Publicado: (2021) -
Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation)
por: Jusoh, Rosmalissa, et al.
Publicado: (2021) -
Android malware detection using hybrid ANFIS architecture with low computational cost convolutional layers
por: Atacak, İsmail, et al.
Publicado: (2022) -
Data augmentation based malware detection using convolutional neural networks
por: Catak, Ferhat Ozgur, et al.
Publicado: (2021) -
A Kullback-Liebler divergence-based representation algorithm for malware detection
por: Aboaoja, Faitouri A., et al.
Publicado: (2023)