Machine learning models and dimensionality reduction for improving the Android malware detection

Machine learning models and dimensionality reduction for improving the Android malware detection

Today, a great number of attack opportunities for cybercriminals arise in Android, since it is one of the most used operating systems for many mobile applications. Hence, it is very important to anticipate these situations. To minimize this problem, the analysis of malware search applications is bas...

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Bibliographic Details
Main Authors:	Pablo Morán, Antonio Robles-Gómez, Andres Duque, Llanos Tobarra, Rafael Pastor-Vargas
Format:	Article
Language:	English
Published:	PeerJ Inc. 2024-12-01
Series:	PeerJ Computer Science
Subjects:	Machine Learning algorithms Random Forest Supervised feature selection techniques Feature filtering techniques Predictive goodness metrics
Online Access:	https://peerj.com/articles/cs-2616.pdf
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