AndroAnalyzer: android malicious software detection based on deep learning.

ABSTRACT:

Background

Technological developments have a significant effect on the development of smart devices. The use of smart devices has become widespread due to their extensive capabilities. The Android operating system is preferred in smart devices due to its open-source structure. This is the reason for its being the target of malware. The advancements in Android malware hiding and detection avoidance methods have overridden traditional malware detection methods.

Methods

In this study, a model employing AndroAnalyzer that uses static analysis and deep learning system is proposed. Tests were carried out with an original dataset consisting of 7,622 applications. Additional tests were conducted with machine learning techniques to compare it with the deep learning method using the o

SUBMITTER: Arslan RS 

PROVIDER: S-EPMC8157142 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature