PICAndro: Packet InspeCtion-Based Android Malware Detection
The post-COVID epidemic world has increased dependence on online businesses for day-to-day life transactions over the Internet, especially using the smartphone or handheld devices. This increased dependence has led to new attack surfaces which need to be evaluated by security researchers. The large...
Guardado en:
Autores principales: | Vikas Sihag, Gaurav Choudhary, Manu Vardhan, Pradeep Singh, Jung Taek Seo |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Hindawi-Wiley
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/8ca1d7ef3a2148bab217e53e964b5fa2 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Fuzzy Integral-Based Multi-Classifiers Ensemble for Android Malware Classification
por: Altyeb Taha, et al.
Publicado: (2021) -
A static analysis approach for Android permission-based malware detection systems.
por: Juliza Mohamad Arif, 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) -
Machine-Learning-Based Android Malware Family Classification Using Built-In and Custom Permissions
por: Minki Kim, et al.
Publicado: (2021)