Active Semi-supervised Approach for Checking App Behavior against its Description
Mobile applications are popular in recent years. They are often allowed to access and modify users' sensitive data. However, many mobile applications are malwares that inappropriately use these sensitive data. To detect these malwares, Gorla et al. Propose CHABADA which compares app behaviors a...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2015
|
| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/2885 https://ink.library.smu.edu.sg/context/sis_research/article/3885/viewcontent/compsac15_malware.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Singapore Management University |
| Language: | English |