Cargando…
Detection of Android Malware in the Internet of Things through the K-Nearest Neighbor Algorithm
Predicting attacks in Android malware devices using machine learning for recommender systems-based IoT can be a challenging task. However, it is possible to use various machine-learning techniques to achieve this goal. An internet-based framework is used to predict and recommend Android malware on I...
Autores principales: | Babbar, Himanshi, Rani, Shalli, Sah, Dipak Kumar, AlQahtani, Salman A., Kashif Bashir, Ali |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460029/ https://www.ncbi.nlm.nih.gov/pubmed/37631793 http://dx.doi.org/10.3390/s23167256 |
Ejemplares similares
-
Android malware and analysis
por: Dunham, Ken
Publicado: (2014) -
HOMLC-Hyperparameter Optimization for Multi-Label Classification of Intrusion Detection Data for Internet of Things Network
por: Sharma, Ankita, et al.
Publicado: (2023) -
Malware detection in Android phones
por: Malik, Sapna
Publicado: (2017) -
An Analysis of Android Malware Classification Services
por: Rashed, Mohammed, et al.
Publicado: (2021) -
Android malware analysis in a nutshell
por: Almomani, Iman, et al.
Publicado: (2022)