Machine-Learning-Based Android Malware Family Classification Using Built-In and Custom Permissions

Malware family classification is grouping malware samples that have the same or similar characteristics into the same family. It plays a crucial role in understanding notable malicious patterns and recovering from malware infections. Although many machine learning approaches have been devised for th...

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Bibliografiske detaljer

Principais autores:	Minki Kim, Daehan Kim, Changha Hwang, Seongje Cho, Sangchul Han, Minkyu Park
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2021-11-01
Serier:	Applied Sciences
Fag:	Android malware malware family classification machine learning built-in permission custom permission balanced accuracy
Online adgang:	https://www.mdpi.com/2076-3417/11/21/10244
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