Comparative Analysis of Machine Learning Models for Android Malware Detection

Comparative Analysis of Machine Learning Models for Android Malware Detection

The rapid growth of Android devices has led to increased security concerns, especially from malicious software. This study extensively compares machine-learning algorithms for effective Android malware detection. Traditional models, such as random forest (RF) and support vector machines (SVM), along...

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Bibliographic Details
Main Authors:	Adem Korkmaz, Selma Bulut
Format:	Article
Language:	English
Published:	Sakarya University 2024-06-01
Series:	Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi
Subjects:	android malware detection machine learning algorithms naticusdroid dataset comparative analysis data integrity
Online Access:	https://dergipark.org.tr/tr/download/article-file/3366215
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