Adversarial Samples on Android Malware Detection Systems for IoT Systems

Many IoT (Internet of Things) systems run Android systems or Android-like systems. With the continuous development of machine learning algorithms, the learning-based Android malware detection system for IoT devices has gradually increased. However, these learning-based detection models are often vul...

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Detalles Bibliográficos
Autores principales: Liu, Xiaolei, Du, Xiaojiang, Zhang, Xiaosong, Zhu, Qingxin, Wang, Hao, Guizani, Mohsen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413143/
https://www.ncbi.nlm.nih.gov/pubmed/30823597
http://dx.doi.org/10.3390/s19040974

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413143/
https://www.ncbi.nlm.nih.gov/pubmed/30823597
http://dx.doi.org/10.3390/s19040974

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