TinyDroid: A Lightweight and Efficient Model for Android Malware Detection and Classification
With the popularity of Android applications, Android malware has an exponential growth trend. In order to detect Android malware effectively, this paper proposes a novel lightweight static detection model, TinyDroid, using instruction simplification and machine learning technique. First, a symbol-ba...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2018-01-01
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| Series: | Mobile Information Systems |
| Online Access: | http://dx.doi.org/10.1155/2018/4157156 |