Predicting the Impact of Android Malicious Samples via Machine Learning
Recently, Android malicious samples threaten billions of mobile end users' security or privacy. The community researchers have designed many methods to automatically and accurately identify Android malware samples. However, the rapid increase of Android malicious samples outpowers the capabilit...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8703863/ |