Impact of Code Deobfuscation and Feature Interaction in Android Malware Detection

Impact of Code Deobfuscation and Feature Interaction in Android Malware Detection

With more than three million applications already in the Android marketplace, various malware detection systems based on machine learning have been proposed to prevent attacks from cybercriminals; most of these systems use static analyses to extract application features. However, many features gener...

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Bibliographic Details
Main Authors: Yun-Chung Chen, Hong-Yen Chen, Takeshi Takahashi, Bo Sun, Tsung-Nan Lin
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Android malware detection
classification
code deobfuscation
feature interaction
machine learning
static analysis
Online Access:https://ieeexplore.ieee.org/document/9529344/

Internet

https://ieeexplore.ieee.org/document/9529344/

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