Android Malware Category and Family Identification Using Parallel Machine Learning

Android Malware Category and Family Identification Using Parallel Machine Learning

Android malware is one of the most dangerous threats on the Internet. It has been on the rise for several years. As a result, it has impacted many applications such as healthcare, banking, transportation, government, e-commerce, etc. One of the most growing attacks is on Android systems due to it...

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Bibliographic Details
Main Authors:	Ahmed Hashem El Fiky, Mohamed Ashraf Madkour, Ayman El Shenawy
Format:	Article
Language:	English
Published:	University of Tehran 2022-07-01
Series:	Journal of Information Technology Management
Subjects:	android malware malware analysis malware category classification malware family classification malware dynamic analysis
Online Access:	https://jitm.ut.ac.ir/article_88133_16d42429ea8c150b3d16ef50fe0a21d7.pdf
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