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About Securing Mobile Applications Against Mobile Malware Attacks A Case Study
1) The document presents a new model called Mobotder to detect potential security exploits in online meeting applications and games based on geolocation, permissions, API calls, and system calls. 2) The model was trained using a hybrid analysis approach on datasets from Drebin and Google Play Store to identify exploits. As a proof of concept, 20 online meeting apps were analyzed and 10% were found to be at high risk of exploitation. 3) For online games, 7 out of 10 anonymously evaluated games were identified as medium risk of exploits. The model can serve as a benchmark for developing mobile malware detection systems for online apps.
Detailed Information
| Author: | ['raghu vardhan'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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