Cyber-Threat Detection System Using a Hybrid Approach of Transfer Learning and Multi-Model Image Representation

Currently, Android apps are easily targeted by malicious network traffic because of their constant network access. These threats have the potential to steal vital information and disrupt the commerce, social system, and banking markets. In this paper, we present a malware detection system based on w...

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Detalles Bibliográficos
Autores principales: Ullah, Farhan, Ullah, Shamsher, Naeem, Muhammad Rashid, Mostarda, Leonardo, Rho, Seungmin, Cheng, Xiaochun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371416/
https://www.ncbi.nlm.nih.gov/pubmed/35957440
http://dx.doi.org/10.3390/s22155883

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371416/
https://www.ncbi.nlm.nih.gov/pubmed/35957440
http://dx.doi.org/10.3390/s22155883

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