Permission extraction framework for android malware detection
Nowadays Android base’s devices have more popularity in compare to other platforms. Statistics represent that market share for Android on mobile devices on March 2018 is 84.8% in compare only 15.1% iOS. These numbers indicate that most of attacks are subjected to Android devices. In addition, most o...
Saved in:
主要作者: | Ghasempour, Ali |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2019
|
主題: | |
在線閱讀: | http://psasir.upm.edu.my/id/eprint/83855/1/FSKTM%202019%2024%20-%20IR.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Android Mobile Malware Classification Based on System Call and Permission Using Tokenization
由: Intan Nurfarahin Binti Ahmad -
A behaviour-based analytical malware detection framework for android smartphones
由: Damshenas, Mohsen
出版: (2014) -
Android malware detection with ensemble of androidmanifest features
由: Mohammad Salehi, .
出版: (2019) -
Behavior analysis and development of the detection algorithm and application prototype to detect the presence of the premium short message service (SMS) abusers malware on the android platform /
由: Syed Mohd Hazrul bin Syed Salim
出版: (2013) -
A comparative study of machine learning methods for android malware detection /
由: Fairuz Amalina Narudin
出版: (2015)