Android Malware Detection Based on a Hybrid Deep Learning Model
In recent years, the number of malware on the Android platform has been increasing, and with the widespread use of code obfuscation technology, the accuracy of antivirus software and traditional detection algorithms is low. Current state-of-the-art research shows that researchers started applying de...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi-Wiley
2020-01-01
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| Series: | Security and Communication Networks |
| Online Access: | http://dx.doi.org/10.1155/2020/8863617 |