An accurate approach to discriminate android colluded malware from single app malware using permissions intelligence

An accurate approach to discriminate android colluded malware from single app malware using permissions intelligence

Abstract Mobile devices are vulnerable to malicious apps that jeopardize user privacy and device integrity. This includes single-app malware that operates independently and colluding Android apps that collaborate with each other to carry out a malicious attack. Existing detection methods primarily f...

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Bibliographic Details
Main Authors:	Roger Yiran Mawoh, Joan Beri Ali Wacka, Franklin Tchakounte, Claude Fachkha, Kolyang
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-03-01
Series:	Scientific Reports
Online Access:	https://doi.org/10.1038/s41598-025-86568-w
Tags:	Add Tag No Tags, Be the first to tag this record!

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