Predicting the Impact of Android Malicious Samples via Machine Learning

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...

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Bibliographic Details
Main Authors: Junyang Qiu, Wei Luo, Lei Pan, Yonghang Tai, Jun Zhang, Yang Xiang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Android malware
deep neural network
high impact malicious samples
low impact malicious samples
static analysis
SVM
Online Access:https://ieeexplore.ieee.org/document/8703863/

Internet

https://ieeexplore.ieee.org/document/8703863/

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