Android Malware Detection Using Autoencoder [article]

Abdelmonim Naway, Yuancheng Li
2019 arXiv   pre-print
Smartphones have become an intrinsic part of human's life. The smartphone unifies diverse advanced characteristics. It enables users to store various data such as photos, health data, credential bank data, and personal information. The Android operating system is the prevalent mobile operating system and, in the meantime, the most targeted operating system by malware developers. Recently the unparalleled development of Android malware put pressure on researchers to propose effective methods to
more » ... uppress the spread of the malware. In this paper, we propose a deep learning approach for Android malware detection. The proposed approach investigates five different feature sets and applies Autoencoder to identify malware. The experimental results show that the proposed approach can identify malware with high accuracy.
arXiv:1901.07315v1 fatcat:twvjlibnmfhyldggjmpat6dz5m