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

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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Bibliographic Details
Main Authors: Victor Vlădăreanu, Valentin-Gabriel Voiculescu, Vlad-Alexandru Grosu, Luige Vlădăreanu, Ana-Maria Travediu, Hao Yan, Hongbo Wang, Laura Ruse
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
software sensor data
machine-learning classifier
smartphone security
Online Access:https://www.mdpi.com/1424-8220/20/10/2768

Internet

https://www.mdpi.com/1424-8220/20/10/2768

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