FAMD: A Fast Multifeature Android Malware Detection Framework, Design, and Implementation

FAMD: A Fast Multifeature Android Malware Detection Framework, Design, and Implementation

With Android's dominant position within the current smartphone OS, increasing number of malware applications pose a great threat to user privacy and security. Classification algorithms that use a single feature usually have weak detection performance. Although the use of multiple features can i...

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Bibliographic Details
Main Authors: Hongpeng Bai, Nannan Xie, Xiaoqiang Di, Qing Ye
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Android malware
CatBoost
Dalvik opcode
malware detection
Online Access:https://ieeexplore.ieee.org/document/9235322/

Internet

https://ieeexplore.ieee.org/document/9235322/

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