Detection of Anomalous Behavior in Modern Smartphones Using Software Sensor-Based Data

This paper describes the steps involved in obtaining a set of relevant data sources and the accompanying method using software-based sensors to detect anomalous behavior in modern smartphones based on machine-learning classifiers. Three classes of models are investigated for classification: logistic...

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Detalles Bibliográficos
Autores principales: Vlădăreanu, Victor, Voiculescu, Valentin-Gabriel, Grosu, Vlad-Alexandru, Vlădăreanu, Luige, Travediu, Ana-Maria, Yan, Hao, Wang, Hongbo, Ruse, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7284384/
https://www.ncbi.nlm.nih.gov/pubmed/32413952
http://dx.doi.org/10.3390/s20102768

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7284384/
https://www.ncbi.nlm.nih.gov/pubmed/32413952
http://dx.doi.org/10.3390/s20102768

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