A Lightweight Android Malware Classifier Using Novel Feature Selection Methods

Faculty Computer Science Year: 2020
Type of Publication: ZU Hosted Pages:
Authors:
Ahmed Salah Mohamed Mostafa
Journal: Symmetry MDPI Volume:
Keywords : , Lightweight Android Malware Classifier Using Novel    
Abstract:
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. Th
    
     
 
       

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