Android malware classification using optimum feature selection and ensemble machine learning

Android malware classification using optimum feature selection and ensemble machine learning

The majority of smartphones on the market run on the Android operating system. Security has been a core concern with this platform since it allows users to install apps from unknown sources. With thousands of apps being produced and launched daily, malware detection using Machine Learning (ML) has a...

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Bibliographic Details
Main Authors: Rejwana Islam, Moinul Islam Sayed, Sajal Saha, Mohammad Jamal Hossain, Md Abdul Masud
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-01-01
Series:Internet of Things and Cyber-Physical Systems
Subjects:
Android
Malware
Category classification
Dynamic analysis
Supervised ML
Ensemble
Online Access:http://www.sciencedirect.com/science/article/pii/S2667345223000202

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http://www.sciencedirect.com/science/article/pii/S2667345223000202

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