A static analysis approach for Android permission-based malware detection systems.
The evolution of malware is causing mobile devices to crash with increasing frequency. Therefore, adequate security evaluations that detect Android malware are crucial. Two techniques can be used in this regard: Static analysis, which meticulously examines the full codes of applications, and dynamic...
Guardado en:
Autores principales: | Juliza Mohamad Arif, Mohd Faizal Ab Razak, Suryanti Awang, Sharfah Ratibah Tuan Mat, Nor Syahidatul Nadiah Ismail, Ahmad Firdaus |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/351777d67fd942f180495755f102eae9 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Machine-Learning-Based Android Malware Family Classification Using Built-In and Custom Permissions
por: Minki Kim, et al.
Publicado: (2021) -
PICAndro: Packet InspeCtion-Based Android Malware Detection
por: Vikas Sihag, et al.
Publicado: (2021) -
Fuzzy Integral-Based Multi-Classifiers Ensemble for Android Malware Classification
por: Altyeb Taha, et al.
Publicado: (2021) -
Recent Advances in Android Mobile Malware Detection: A Systematic Literature Review
por: Abdulaziz Alzubaidi
Publicado: (2021) -
Android Malware Detection Using Machine Learning with Feature Selection Based on the Genetic Algorithm
por: Jaehyeong Lee, et al.
Publicado: (2021)