Hybrid machine learning model for malware analysis in android apps
Author:
Publisher
Elsevier BV
Subject
Software,Computer Science Applications,Hardware and Architecture,Computer Networks and Communications,Information Systems
Reference44 articles.
1. DroidDolphin: a dynamic Android malware detection framework using big data and machine learning;Wu,2014
2. APK Auditor: Permission-based Android malware detection system;Talha;Digit. Investig.,2015
3. A comparison of static, dynamic, and hybrid analysis for malware detection;Damodaran;J. Comput. Virol. Hack. Tech.,2017
4. Android malware familial classification and representative sample selection via frequent subgraph analysis;Fan;IEEE Trans. Inf. Forensics Secur.,2018
5. PIndroid: a novel Android malware detection system using ensemble learning methods;Idrees;Comput. Secur.,2017
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