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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| 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!
|