A Lightweight Android Malware Classifier Using Novel Feature Selection Methods

A Lightweight Android Malware Classifier Using Novel Feature Selection Methods

Smartphones and mobile tablets play significant roles in daily life and have led to an increase in the number of users of this technology. The rising number of mobile device end-users has resulted in the generation of malware by hackers. Thus, mobile devices are becoming vulnerable to malware. Machi...

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Bibliographic Details
Main Authors: Ahmad Salah, Eman Shalabi, Walid Khedr
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Symmetry
Subjects:
malware detection
Android malware
classifier
SVM
feature selection
TF-IDF
Online Access:https://www.mdpi.com/2073-8994/12/5/858

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https://www.mdpi.com/2073-8994/12/5/858

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