• Corpus ID: 4605457

Examining Features for Android Malware Detection

@inproceedings{Leeds2017ExaminingFF,
  title={Examining Features for Android Malware Detection},
  author={Matthew Leeds and Miclain Keffeler and Travis Atkison},
  year={2017}
}
With the constantly increasing use of mobile devices, the need for effective malware detection algorithms is constantly growing. The research presented in this paper expands upon previous work that applied machine learning techniques to the area of Android malware detection by examining Java API call data as a method for malware detection. In addition to examining a new feature, a significant amount of work has been done in understanding how the model works and various ways of improving its… 

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