LongCGDroid: Android malware detection through longitudinal study for machine learning and deep learning

LongCGDroid: Android malware detection through longitudinal study for machine learning and deep learning

This study aims to compare the longitudinal performance between machine learning and deep learning classifiers for Android malware detection, employing different levels of feature abstraction. Using a dataset of 200k Android apps labeled by date within a 10-year range (2013-2022), we propose the Lon...

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Bibliographic Details
Main Authors: Abdelhak Mesbah, Ibtihel Baddari, Mohamed Amine Raihla
Format: Article
Language:English
Published: Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) 2023-12-01
Series:Jordanian Journal of Computers and Information Technology
Subjects:
android security
malware detection
machine learning
adjacency matrix
longitudinal evaluation
Online Access:https://www.jjcit.org/?mno=167554

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https://www.jjcit.org/?mno=167554

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